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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<answerable: bool, context: struct<content: list<element: list<element: string>>, sentences: list<element: list<element: string>>, title: list<element: string>>, level: string, o_aliases: string, o_pop: double, o_uri: string, o_wiki_title: string, obj: string, obj_id: double, prop: string, prop_id: double, question_decomposition: list<element: struct<answer: string, id: int64, paragraph_support_idx: int64, question: string, support_paragraph: struct<idx: int64, is_supporting: bool, paragraph_text: string, title: string>>>, s_aliases: string, s_pop: double, s_uri: string, s_wiki_title: string, subj: string, subj_id: double, supporting_facts: struct<sent_id: list<element: int64>, title: list<element: string>>, type: string>
to
{'context': {'sentences': List(List(Value('string'))), 'title': List(Value('string'))}, 'level': Value('string'), 'supporting_facts': {'sent_id': List(Value('int64')), 'title': List(Value('string'))}, 'type': Value('string')}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1405, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 578, in fill_builder_info
                  ) = retry_validate_get_features_num_examples_size_and_compression_ratio(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 497, in retry_validate_get_features_num_examples_size_and_compression_ratio
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 535, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 695346113 which exceeds the limit of 300000000
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 692, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2223, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2224, in <listcomp>
                  cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2092, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<answerable: bool, context: struct<content: list<element: list<element: string>>, sentences: list<element: list<element: string>>, title: list<element: string>>, level: string, o_aliases: string, o_pop: double, o_uri: string, o_wiki_title: string, obj: string, obj_id: double, prop: string, prop_id: double, question_decomposition: list<element: struct<answer: string, id: int64, paragraph_support_idx: int64, question: string, support_paragraph: struct<idx: int64, is_supporting: bool, paragraph_text: string, title: string>>>, s_aliases: string, s_pop: double, s_uri: string, s_wiki_title: string, subj: string, subj_id: double, supporting_facts: struct<sent_id: list<element: int64>, title: list<element: string>>, type: string>
              to
              {'context': {'sentences': List(List(Value('string'))), 'title': List(Value('string'))}, 'level': Value('string'), 'supporting_facts': {'sent_id': List(Value('int64')), 'title': List(Value('string'))}, 'type': Value('string')}
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1428, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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id
string
question
string
golden_answers
list
data_source
string
prompt
list
ability
string
reward_model
dict
extra_info
dict
metadata
dict
train_0
total number of death row inmates in the us?
[ "2,718" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: total number of death row inmates in the us?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "2,718" ] }, "style": "rule" }
{ "index": 0, "split": "train" }
null
train_1
big little lies season 2 how many episodes?
[ "seven" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: big little lies season 2 how many episodes?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "seven" ] }, "style": "rule" }
{ "index": 1, "split": "train" }
null
train_2
who sang waiting for a girl like you?
[ "Foreigner" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who sang waiting for a girl like you?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Foreigner" ] }, "style": "rule" }
{ "index": 2, "split": "train" }
null
train_3
where do you cross the arctic circle in norway?
[ "Saltfjellet" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: where do you cross the arctic circle in norway?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Saltfjellet" ] }, "style": "rule" }
{ "index": 3, "split": "train" }
null
train_4
who is the main character in green eggs and ham?
[ "Sam-I-am" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who is the main character in green eggs and ham?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Sam-I-am" ] }, "style": "rule" }
{ "index": 4, "split": "train" }
null
train_5
do veins carry blood to the heart or away?
[ "to" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: do veins carry blood to the heart or away?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "to" ] }, "style": "rule" }
{ "index": 5, "split": "train" }
null
train_6
who played charlie bucket in the original charlie and the chocolate factory?
[ "Peter Gardner[4] Ostrum" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who played charlie bucket in the original charlie and the chocolate factory?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Peter Gardner[4] Ostrum" ] }, "style": "rule" }
{ "index": 6, "split": "train" }
null
train_7
what is 1 radian in terms of pi?
[ "1/2π" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what is 1 radian in terms of pi?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "1/2π" ] }, "style": "rule" }
{ "index": 7, "split": "train" }
null
train_8
when does season 5 of bates motel come out?
[ "February 20, 2017" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when does season 5 of bates motel come out?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "February 20, 2017" ] }, "style": "rule" }
{ "index": 8, "split": "train" }
null
train_9
how many episodes are in series 7 game of thrones?
[ "seven" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: how many episodes are in series 7 game of thrones?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "seven" ] }, "style": "rule" }
{ "index": 9, "split": "train" }
null
train_10
who is next in line to be the monarch of england?
[ "Charles, Prince of Wales" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who is next in line to be the monarch of england?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Charles, Prince of Wales" ] }, "style": "rule" }
{ "index": 10, "split": "train" }
null
train_11
who is in charge of enforcing the pendleton act of 1883?
[ "United States Civil Service Commission" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who is in charge of enforcing the pendleton act of 1883?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "United States Civil Service Commission" ] }, "style": "rule" }
{ "index": 11, "split": "train" }
null
train_12
what is the name of latest version of android?
[ "Oreo" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what is the name of latest version of android?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Oreo" ] }, "style": "rule" }
{ "index": 12, "split": "train" }
null
train_13
why was there so much interest in cuba both before and after the civil war?
[ "sugar markets" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: why was there so much interest in cuba both before and after the civil war?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "sugar markets" ] }, "style": "rule" }
{ "index": 13, "split": "train" }
null
train_14
when did veterans day start being called veterans day?
[ "June 1, 1954" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when did veterans day start being called veterans day?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "June 1, 1954" ] }, "style": "rule" }
{ "index": 14, "split": "train" }
null
train_15
when did big air snowboarding become an olympic sport?
[ "2018" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when did big air snowboarding become an olympic sport?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "2018" ] }, "style": "rule" }
{ "index": 15, "split": "train" }
null
train_16
who played in the most world series games?
[ "the New York Yankees" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who played in the most world series games?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "the New York Yankees" ] }, "style": "rule" }
{ "index": 16, "split": "train" }
null
train_17
who sings i can't stop this feeling anymore?
[ "American rock band REO Speedwagon" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who sings i can't stop this feeling anymore?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "American rock band REO Speedwagon" ] }, "style": "rule" }
{ "index": 17, "split": "train" }
null
train_18
who is the month of may named after?
[ "the Greek Goddess Maia" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who is the month of may named after?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "the Greek Goddess Maia" ] }, "style": "rule" }
{ "index": 18, "split": "train" }
null
train_19
who has the most petroleum in the world?
[ "Venezuela" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who has the most petroleum in the world?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Venezuela" ] }, "style": "rule" }
{ "index": 19, "split": "train" }
null
train_20
who is the sister of for king and country?
[ "Rebecca St. James" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who is the sister of for king and country?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Rebecca St. James" ] }, "style": "rule" }
{ "index": 20, "split": "train" }
null
train_21
who developed the first periodic table with 8 columns?
[ "Dmitri Mendeleev" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who developed the first periodic table with 8 columns?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Dmitri Mendeleev" ] }, "style": "rule" }
{ "index": 21, "split": "train" }
null
train_22
who plays skyler on lab rats elite force?
[ "Paris Berelc" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who plays skyler on lab rats elite force?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Paris Berelc" ] }, "style": "rule" }
{ "index": 22, "split": "train" }
null
train_23
when is season seven of game of thrones coming out?
[ "July 16, 2017" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when is season seven of game of thrones coming out?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "July 16, 2017" ] }, "style": "rule" }
{ "index": 23, "split": "train" }
null
train_24
who went home on rupaul's drag race season 10 episode 4?
[ "Dusty Ray Bottoms" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who went home on rupaul's drag race season 10 episode 4?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Dusty Ray Bottoms" ] }, "style": "rule" }
{ "index": 24, "split": "train" }
null
train_25
when did nigeria become a federation of 19 states?
[ "1976" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when did nigeria become a federation of 19 states?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "1976" ] }, "style": "rule" }
{ "index": 25, "split": "train" }
null
train_26
when did roller derby first appear in the press?
[ "1922" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when did roller derby first appear in the press?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "1922" ] }, "style": "rule" }
{ "index": 26, "split": "train" }
null
train_27
what nba team has the highest winning percentage?
[ "San Antonio Spurs" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what nba team has the highest winning percentage?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "San Antonio Spurs" ] }, "style": "rule" }
{ "index": 27, "split": "train" }
null
train_28
if there is a random change in the genetics of a small population it is termed?
[ "genetic drift" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: if there is a random change in the genetics of a small population it is termed?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "genetic drift" ] }, "style": "rule" }
{ "index": 28, "split": "train" }
null
train_29
who played vincent in nanny mcphee and the big bang?
[ "Oscar Steer" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who played vincent in nanny mcphee and the big bang?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Oscar Steer" ] }, "style": "rule" }
{ "index": 29, "split": "train" }
null
train_30
who played the eldest daughter in the sound of music?
[ "Charmian Carr" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who played the eldest daughter in the sound of music?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Charmian Carr" ] }, "style": "rule" }
{ "index": 30, "split": "train" }
null
train_31
who plays andy's teacher in parks and rec?
[ "Danielle Bisutti" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who plays andy's teacher in parks and rec?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Danielle Bisutti" ] }, "style": "rule" }
{ "index": 31, "split": "train" }
null
train_32
in which channel fifa world cup will be broadcasted?
[ "NBC", "Telemundo" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: in which channel fifa world cup will be broadcasted?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "NBC", "Telemundo" ] }, "style": "rule" }
{ "index": 32, "split": "train" }
null
train_33
what is a large body of water that flows through land?
[ "River" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what is a large body of water that flows through land?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "River" ] }, "style": "rule" }
{ "index": 33, "split": "train" }
null
train_34
who played all the carly's on general hospital?
[ "Jennifer Bransford", "Tamara Braun", "Sarah Joy Brown", "Laura Wright" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who played all the carly's on general hospital?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Jennifer Bransford", "Tamara Braun", "Sarah Joy Brown", "Laura Wright" ] }, "style": "rule" }
{ "index": 34, "split": "train" }
null
train_35
an object that has mass and occupies space is known as?
[ "matter" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: an object that has mass and occupies space is known as?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "matter" ] }, "style": "rule" }
{ "index": 35, "split": "train" }
null
train_36
who sang the original blinded by the light?
[ "Bruce Springsteen" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who sang the original blinded by the light?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Bruce Springsteen" ] }, "style": "rule" }
{ "index": 36, "split": "train" }
null
train_37
who is the yellow rose of texas named after?
[ "Emily D. West" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who is the yellow rose of texas named after?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Emily D. West" ] }, "style": "rule" }
{ "index": 37, "split": "train" }
null
train_38
who sings the song i can see clearly now the rain is gone?
[ "Johnny Nash" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who sings the song i can see clearly now the rain is gone?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Johnny Nash" ] }, "style": "rule" }
{ "index": 38, "split": "train" }
null
train_39
who was the rfc editor until 1998 just provide the family name?
[ "Postel" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who was the rfc editor until 1998 just provide the family name?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Postel" ] }, "style": "rule" }
{ "index": 39, "split": "train" }
null
train_40
what is the number 1 sport in the usa?
[ "American football" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what is the number 1 sport in the usa?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "American football" ] }, "style": "rule" }
{ "index": 40, "split": "train" }
null
train_41
when was the flight of the bumblebee written?
[ "in 1899–1900" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when was the flight of the bumblebee written?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "in 1899–1900" ] }, "style": "rule" }
{ "index": 41, "split": "train" }
null
train_42
who plays cullen bohannon in hell on wheels?
[ "Anson Adams Mount IV" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who plays cullen bohannon in hell on wheels?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Anson Adams Mount IV" ] }, "style": "rule" }
{ "index": 42, "split": "train" }
null
train_43
when does the new pokemon movie come out?
[ "July 15, 2017" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when does the new pokemon movie come out?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "July 15, 2017" ] }, "style": "rule" }
{ "index": 43, "split": "train" }
null
train_44
how many oar athletes are in the olympics?
[ "168" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: how many oar athletes are in the olympics?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "168" ] }, "style": "rule" }
{ "index": 44, "split": "train" }
null
train_45
where is the honda classic played this year?
[ "Palm Beach Gardens, Florida" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: where is the honda classic played this year?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Palm Beach Gardens, Florida" ] }, "style": "rule" }
{ "index": 45, "split": "train" }
null
train_46
who won the nrl grand final in 2015?
[ "North Queensland Cowboys" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who won the nrl grand final in 2015?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "North Queensland Cowboys" ] }, "style": "rule" }
{ "index": 46, "split": "train" }
null
train_47
where was charlie and the choclate factory filmed?
[ "Pinewood Studios in England" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: where was charlie and the choclate factory filmed?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Pinewood Studios in England" ] }, "style": "rule" }
{ "index": 47, "split": "train" }
null
train_48
who owns the rights to the song happy birthday?
[ "Warner/Chappell Music" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who owns the rights to the song happy birthday?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Warner/Chappell Music" ] }, "style": "rule" }
{ "index": 48, "split": "train" }
null
train_49
who sang the song every breath you take?
[ "The Police" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who sang the song every breath you take?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "The Police" ] }, "style": "rule" }
{ "index": 49, "split": "train" }
null
train_50
when did the british hand-over sovereignty of hong kong back to china?
[ "1 July 1997" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when did the british hand-over sovereignty of hong kong back to china?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "1 July 1997" ] }, "style": "rule" }
{ "index": 50, "split": "train" }
null
train_51
the first life forms to appear on earth were?
[ "putative fossilized microorganisms" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: the first life forms to appear on earth were?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "putative fossilized microorganisms" ] }, "style": "rule" }
{ "index": 51, "split": "train" }
null
train_52
who played the robot on lost in space 2018?
[ "Brian Steele" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who played the robot on lost in space 2018?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Brian Steele" ] }, "style": "rule" }
{ "index": 52, "split": "train" }
null
train_53
who came up with britain's got talent?
[ "Simon Cowell" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who came up with britain's got talent?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Simon Cowell" ] }, "style": "rule" }
{ "index": 53, "split": "train" }
null
train_54
what year did my pet monster come out?
[ "1986" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what year did my pet monster come out?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "1986" ] }, "style": "rule" }
{ "index": 54, "split": "train" }
null
train_55
who made the beavis and butthead theme song?
[ "Mike Judge" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who made the beavis and butthead theme song?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Mike Judge" ] }, "style": "rule" }
{ "index": 55, "split": "train" }
null
train_56
who has won the 2017 womens singles wimbledon tennis tournament?
[ "Garbiñe Muguruza" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who has won the 2017 womens singles wimbledon tennis tournament?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Garbiñe Muguruza" ] }, "style": "rule" }
{ "index": 56, "split": "train" }
null
train_57
when was the wheel first used in egypt?
[ "4th Dynasty" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when was the wheel first used in egypt?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "4th Dynasty" ] }, "style": "rule" }
{ "index": 57, "split": "train" }
null
train_58
which type of organism produces food in an ecosystem?
[ "autotrophs" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: which type of organism produces food in an ecosystem?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "autotrophs" ] }, "style": "rule" }
{ "index": 58, "split": "train" }
null
train_59
who wrote the song for once in my life?
[ "Orlando Murden", "Ron Miller" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who wrote the song for once in my life?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Orlando Murden", "Ron Miller" ] }, "style": "rule" }
{ "index": 59, "split": "train" }
null
train_60
who sang i could not ask for more first?
[ "Edwin McCain" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who sang i could not ask for more first?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Edwin McCain" ] }, "style": "rule" }
{ "index": 60, "split": "train" }
null
train_61
who is the singer of waiting for love?
[ "Simon Aldred" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who is the singer of waiting for love?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Simon Aldred" ] }, "style": "rule" }
{ "index": 61, "split": "train" }
null
train_62
who recorded it's a man's world?
[ "James Brown" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who recorded it's a man's world?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "James Brown" ] }, "style": "rule" }
{ "index": 62, "split": "train" }
null
train_63
when does season 14 of grey's anatomy come out?
[ "September 28, 2017" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when does season 14 of grey's anatomy come out?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "September 28, 2017" ] }, "style": "rule" }
{ "index": 63, "split": "train" }
null
train_64
when was the last time the detroit lions won a championship?
[ "1993" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when was the last time the detroit lions won a championship?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "1993" ] }, "style": "rule" }
{ "index": 64, "split": "train" }
null
train_65
who played general chang in star trek 6?
[ "Christopher Plummer" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who played general chang in star trek 6?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Christopher Plummer" ] }, "style": "rule" }
{ "index": 65, "split": "train" }
null
train_66
which part of earth is covered with water?
[ "71%" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: which part of earth is covered with water?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "71%" ] }, "style": "rule" }
{ "index": 66, "split": "train" }
null
train_67
who's playing han solo in the han solo movie?
[ "Alden Ehrenreich" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who's playing han solo in the han solo movie?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Alden Ehrenreich" ] }, "style": "rule" }
{ "index": 67, "split": "train" }
null
train_68
where did the rule of 72 come from?
[ "of Luca Pacioli", "Summa de arithmetica" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: where did the rule of 72 come from?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "of Luca Pacioli", "Summa de arithmetica" ] }, "style": "rule" }
{ "index": 68, "split": "train" }
null
train_69
when was the masque of the red death written?
[ "1842" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when was the masque of the red death written?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "1842" ] }, "style": "rule" }
{ "index": 69, "split": "train" }
null
train_70
who sings the original version of feeling good?
[ "Cy Grant" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who sings the original version of feeling good?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Cy Grant" ] }, "style": "rule" }
{ "index": 70, "split": "train" }
null
train_71
how many fleet of war ships brought by achilles in the shore near troy?
[ "50" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: how many fleet of war ships brought by achilles in the shore near troy?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "50" ] }, "style": "rule" }
{ "index": 71, "split": "train" }
null
train_72
who does black panther marry in the comics?
[ "Ororo Munroe" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who does black panther marry in the comics?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Ororo Munroe" ] }, "style": "rule" }
{ "index": 72, "split": "train" }
null
train_73
what is the record for home runs in a season?
[ "Barry Bonds" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what is the record for home runs in a season?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Barry Bonds" ] }, "style": "rule" }
{ "index": 73, "split": "train" }
null
train_74
how do you say horse meat in french?
[ "viande chevaline" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: how do you say horse meat in french?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "viande chevaline" ] }, "style": "rule" }
{ "index": 74, "split": "train" }
null
train_75
who is the chief law officer of the government of india?
[ "The Attorney General for India" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who is the chief law officer of the government of india?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "The Attorney General for India" ] }, "style": "rule" }
{ "index": 75, "split": "train" }
null
train_76
when did the original flatliners movie come out?
[ "1990" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when did the original flatliners movie come out?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "1990" ] }, "style": "rule" }
{ "index": 76, "split": "train" }
null
train_77
who is bright eyes in the loved ones?
[ "Anne Scott-Pendlebury" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who is bright eyes in the loved ones?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Anne Scott-Pendlebury" ] }, "style": "rule" }
{ "index": 77, "split": "train" }
null
train_78
what was the geeks name in 16 candles?
[ "Anthony Michael Hall" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what was the geeks name in 16 candles?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Anthony Michael Hall" ] }, "style": "rule" }
{ "index": 78, "split": "train" }
null
train_79
who has scored the most own goals in premier league history?
[ "Alan Shearer" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who has scored the most own goals in premier league history?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Alan Shearer" ] }, "style": "rule" }
{ "index": 79, "split": "train" }
null
train_80
what day of the year is mothers day always celebrated?
[ "the second Sunday in May" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what day of the year is mothers day always celebrated?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "the second Sunday in May" ] }, "style": "rule" }
{ "index": 80, "split": "train" }
null
train_81
when was the first episode of only fools and horses made?
[ "8 September 1981" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when was the first episode of only fools and horses made?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "8 September 1981" ] }, "style": "rule" }
{ "index": 81, "split": "train" }
null
train_82
what was the first bring it on movie?
[ "Bring It On" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what was the first bring it on movie?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Bring It On" ] }, "style": "rule" }
{ "index": 82, "split": "train" }
null
train_83
when did the words in god we trust appear on money?
[ "1864" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when did the words in god we trust appear on money?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "1864" ] }, "style": "rule" }
{ "index": 83, "split": "train" }
null
train_84
who plays smithys sister in gavin and stacey?
[ "Sheridan Smith" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who plays smithys sister in gavin and stacey?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Sheridan Smith" ] }, "style": "rule" }
{ "index": 84, "split": "train" }
null
train_85
who is the nets all time leading scorer?
[ "Brook Lopez" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who is the nets all time leading scorer?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Brook Lopez" ] }, "style": "rule" }
{ "index": 85, "split": "train" }
null
train_86
who sang you won't get me i'm part of the union?
[ "Strawbs" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who sang you won't get me i'm part of the union?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Strawbs" ] }, "style": "rule" }
{ "index": 86, "split": "train" }
null
train_87
where was the first pan african conference held?
[ "in London" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: where was the first pan african conference held?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "in London" ] }, "style": "rule" }
{ "index": 87, "split": "train" }
null
train_88
who played adam schiff on law & order?
[ "Steven Hill" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who played adam schiff on law & order?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Steven Hill" ] }, "style": "rule" }
{ "index": 88, "split": "train" }
null
train_89
who was president when the white house was built?
[ "John Adams" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who was president when the white house was built?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "John Adams" ] }, "style": "rule" }
{ "index": 89, "split": "train" }
null
train_90
where is the big statue of jesus located?
[ "Rio de Janeiro, Brazil" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: where is the big statue of jesus located?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Rio de Janeiro, Brazil" ] }, "style": "rule" }
{ "index": 90, "split": "train" }
null
train_91
who sang the song you are the reason?
[ "Calum Scott" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: who sang the song you are the reason?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Calum Scott" ] }, "style": "rule" }
{ "index": 91, "split": "train" }
null
train_92
what is the predominant religion in the ukraine?
[ "Orthodoxy" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what is the predominant religion in the ukraine?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Orthodoxy" ] }, "style": "rule" }
{ "index": 92, "split": "train" }
null
train_93
when did the who perform at the super bowl?
[ "Feb 7, 2010" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when did the who perform at the super bowl?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Feb 7, 2010" ] }, "style": "rule" }
{ "index": 93, "split": "train" }
null
train_94
where was practical magic supposed to be set?
[ "Maria's Island in Massachusetts" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: where was practical magic supposed to be set?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Maria's Island in Massachusetts" ] }, "style": "rule" }
{ "index": 94, "split": "train" }
null
train_95
when was abbott and costello who's on first?
[ "February 1938" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: when was abbott and costello who's on first?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "February 1938" ] }, "style": "rule" }
{ "index": 95, "split": "train" }
null
train_96
india's medal ranking in asian games 2018?
[ "8" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: india's medal ranking in asian games 2018?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "8" ] }, "style": "rule" }
{ "index": 96, "split": "train" }
null
train_97
how far is murrysville pa from pittsburgh pa?
[ "roughly 20 miles" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: how far is murrysville pa from pittsburgh pa?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "roughly 20 miles" ] }, "style": "rule" }
{ "index": 97, "split": "train" }
null
train_98
what is the pattern on a leopard's coat called?
[ "A leopard pattern" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: what is the pattern on a leopard's coat called?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "A leopard pattern" ] }, "style": "rule" }
{ "index": 98, "split": "train" }
null
train_99
where is eden west resort from couples retreat?
[ "Bora Bora" ]
nq
[ { "content": "Answer the given question step by step. Start by reasoning inside <think>Your thought</think>. Evert time you get new information, you should reason again using <think>Your thought</think>. If you lack knowledge, search using <search>Your query</search> and return the top three results in <information>Your information</information>. You can search multiple times as needed and each search should only search for one information about only one entity. For questions concerning more than one entities, break them down into steps and search for each piece of information. Finally, provide your answer in <answer>Your answer</answer> without detailed explanations, for example, <answer>Beijing</answer>. Let's search step by step.\nQuestion: where is eden west resort from couples retreat?\n", "role": "user" } ]
fact-reasoning
{ "ground_truth": { "target": [ "Bora Bora" ] }, "style": "rule" }
{ "index": 99, "split": "train" }
null
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