The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({'val_scores', 'best_alpha'})

This happened while the json dataset builder was generating data using

hf://datasets/allisonzz/embedding-migration-results/beir_fiqa_ridge.json (at revision 2c46ad92fc5aa04e6063849780de2504df39677e), ['hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_fiqa_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_fiqa_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_nfcorpus_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_nfcorpus_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_scifact_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_scifact_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/fewshot_curve.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/msmarco_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/msmarco_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/relative_repr.json'], ['hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_fiqa_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_fiqa_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_nfcorpus_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_nfcorpus_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_scifact_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_scifact_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/fewshot_curve.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/msmarco_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/msmarco_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/relative_repr.json']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              source: string
              target: string
              method: string
              method_label: string
              eval_dataset: string
              src_dim: int64
              tgt_dim: int64
              train_size: int64
              fit_time_s: double
              recall@10_translated: double
              recall@10_native_target: double
              ratio: double
              ndcg@10_translated: double
              ndcg@10_native_target: double
              ndcg_ratio: double
              best_alpha: double
              val_scores: struct<0.001: double, 0.01: double, 0.1: double, 1.0: double, 10.0: double, 100.0: double>
                child 0, 0.001: double
                child 1, 0.01: double
                child 2, 0.1: double
                child 3, 1.0: double
                child 4, 10.0: double
                child 5, 100.0: double
              to
              {'source': Value('string'), 'target': Value('string'), 'method': Value('string'), 'method_label': Value('string'), 'eval_dataset': Value('string'), 'src_dim': Value('int64'), 'tgt_dim': Value('int64'), 'train_size': Value('int64'), 'fit_time_s': Value('float64'), 'recall@10_translated': Value('float64'), 'recall@10_native_target': Value('float64'), 'ratio': Value('float64'), 'ndcg@10_translated': Value('float64'), 'ndcg@10_native_target': Value('float64'), 'ndcg_ratio': Value('float64')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({'val_scores', 'best_alpha'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/allisonzz/embedding-migration-results/beir_fiqa_ridge.json (at revision 2c46ad92fc5aa04e6063849780de2504df39677e), ['hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_fiqa_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_fiqa_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_nfcorpus_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_nfcorpus_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_scifact_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_scifact_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/fewshot_curve.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/msmarco_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/msmarco_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/relative_repr.json'], ['hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_fiqa_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_fiqa_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_nfcorpus_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_nfcorpus_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_scifact_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/beir_scifact_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/fewshot_curve.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/msmarco_procrustes.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/msmarco_ridge.json', 'hf://datasets/allisonzz/embedding-migration-results@2c46ad92fc5aa04e6063849780de2504df39677e/relative_repr.json']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

source
string
target
string
method
string
method_label
string
eval_dataset
string
src_dim
int64
tgt_dim
int64
train_size
int64
fit_time_s
float64
recall@10_translated
float64
recall@10_native_target
float64
ratio
float64
ndcg@10_translated
float64
ndcg@10_native_target
float64
ndcg_ratio
float64
intfloat/e5-base-v2
BAAI/bge-base-en-v1.5
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
6.423
0.2626
0.42673
0.61538
0.23583
0.40601
0.58085
intfloat/e5-base-v2
Alibaba-NLP/gte-base-en-v1.5
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
0.045
0.03283
0.50703
0.06474
0.02442
0.48659
0.05018
intfloat/e5-base-v2
nomic-ai/nomic-embed-text-v1.5
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
0.044
0.18933
0.3939
0.48065
0.17597
0.37417
0.47028
intfloat/e5-base-v2
Qwen/Qwen3-Embedding-0.6B
procrustes
least_squares
fiqa
768
1,024
5,000
0.047
0.22567
0.48124
0.46894
0.1965
0.46616
0.42154
intfloat/e5-base-v2
Qwen/Qwen3-Embedding-4B
procrustes
least_squares
fiqa
768
2,560
5,000
0.026
0.2544
0.59965
0.42424
0.22429
0.58402
0.38404
BAAI/bge-base-en-v1.5
intfloat/e5-base-v2
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
0.044
0.40563
0.41676
0.97328
0.38337
0.40052
0.95717
BAAI/bge-base-en-v1.5
Alibaba-NLP/gte-base-en-v1.5
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
0.045
0.32884
0.50703
0.64855
0.30533
0.48659
0.62749
BAAI/bge-base-en-v1.5
nomic-ai/nomic-embed-text-v1.5
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
0.045
0.32356
0.3939
0.82143
0.29553
0.37417
0.78982
BAAI/bge-base-en-v1.5
Qwen/Qwen3-Embedding-0.6B
procrustes
least_squares
fiqa
768
1,024
5,000
0.013
0.28664
0.48124
0.59562
0.25377
0.46616
0.54439
BAAI/bge-base-en-v1.5
Qwen/Qwen3-Embedding-4B
procrustes
least_squares
fiqa
768
2,560
5,000
0.025
0.32415
0.59965
0.54057
0.29326
0.58402
0.50213
Alibaba-NLP/gte-base-en-v1.5
intfloat/e5-base-v2
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
0.045
0.35932
0.41676
0.86217
0.32648
0.40052
0.81513
Alibaba-NLP/gte-base-en-v1.5
BAAI/bge-base-en-v1.5
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
0.046
0.37339
0.42673
0.875
0.34012
0.40601
0.83771
Alibaba-NLP/gte-base-en-v1.5
nomic-ai/nomic-embed-text-v1.5
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
0.046
0.34232
0.3939
0.86905
0.32071
0.37417
0.85712
Alibaba-NLP/gte-base-en-v1.5
Qwen/Qwen3-Embedding-0.6B
procrustes
least_squares
fiqa
768
1,024
5,000
0.013
0.26202
0.48124
0.54446
0.22811
0.46616
0.48934
Alibaba-NLP/gte-base-en-v1.5
Qwen/Qwen3-Embedding-4B
procrustes
least_squares
fiqa
768
2,560
5,000
0.025
0.28253
0.59965
0.47116
0.24931
0.58402
0.42689
nomic-ai/nomic-embed-text-v1.5
intfloat/e5-base-v2
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
0.044
0.3306
0.41676
0.79325
0.30866
0.40052
0.77064
nomic-ai/nomic-embed-text-v1.5
BAAI/bge-base-en-v1.5
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
0.045
0.3306
0.42673
0.77473
0.30145
0.40601
0.74247
nomic-ai/nomic-embed-text-v1.5
Alibaba-NLP/gte-base-en-v1.5
procrustes
orthogonal_procrustes
fiqa
768
768
5,000
0.047
0.26143
0.50703
0.51561
0.23035
0.48659
0.47339
nomic-ai/nomic-embed-text-v1.5
Qwen/Qwen3-Embedding-0.6B
procrustes
least_squares
fiqa
768
1,024
5,000
0.013
0.28312
0.48124
0.58831
0.25521
0.46616
0.54746
nomic-ai/nomic-embed-text-v1.5
Qwen/Qwen3-Embedding-4B
procrustes
least_squares
fiqa
768
2,560
5,000
0.025
0.33587
0.59965
0.56012
0.30267
0.58402
0.51826
Qwen/Qwen3-Embedding-0.6B
intfloat/e5-base-v2
procrustes
least_squares
fiqa
1,024
768
5,000
0.015
0.27491
0.41676
0.65963
0.25859
0.40052
0.64564
Qwen/Qwen3-Embedding-0.6B
BAAI/bge-base-en-v1.5
procrustes
least_squares
fiqa
1,024
768
5,000
0.015
0.33353
0.42673
0.78159
0.30188
0.40601
0.74353
Qwen/Qwen3-Embedding-0.6B
Alibaba-NLP/gte-base-en-v1.5
procrustes
least_squares
fiqa
1,024
768
5,000
0.015
0.37925
0.50703
0.74798
0.35446
0.48659
0.72845
Qwen/Qwen3-Embedding-0.6B
nomic-ai/nomic-embed-text-v1.5
procrustes
least_squares
fiqa
1,024
768
5,000
0.015
0.28664
0.3939
0.72768
0.26093
0.37417
0.69737
Qwen/Qwen3-Embedding-0.6B
Qwen/Qwen3-Embedding-4B
procrustes
least_squares
fiqa
1,024
2,560
5,000
0.041
0.48652
0.59965
0.81134
0.46139
0.58402
0.79002
Qwen/Qwen3-Embedding-4B
intfloat/e5-base-v2
procrustes
least_squares
fiqa
2,560
768
5,000
0.046
0.3347
0.41676
0.80309
0.29857
0.40052
0.74547
Qwen/Qwen3-Embedding-4B
BAAI/bge-base-en-v1.5
procrustes
least_squares
fiqa
2,560
768
5,000
0.046
0.33411
0.42673
0.78297
0.29871
0.40601
0.73573
Qwen/Qwen3-Embedding-4B
Alibaba-NLP/gte-base-en-v1.5
procrustes
least_squares
fiqa
2,560
768
5,000
0.046
0.39683
0.50703
0.78266
0.35856
0.48659
0.73688
Qwen/Qwen3-Embedding-4B
nomic-ai/nomic-embed-text-v1.5
procrustes
least_squares
fiqa
2,560
768
5,000
0.046
0.29543
0.3939
0.75
0.27777
0.37417
0.74237
Qwen/Qwen3-Embedding-4B
Qwen/Qwen3-Embedding-0.6B
procrustes
least_squares
fiqa
2,560
1,024
5,000
0.046
0.45311
0.48124
0.94153
0.4345
0.46616
0.93209
intfloat/e5-base-v2
BAAI/bge-base-en-v1.5
ridge
ridge(α=0.1)
fiqa
768
768
5,000
1.425
0.35815
0.42673
0.83929
0.32161
0.40601
0.79213
intfloat/e5-base-v2
Alibaba-NLP/gte-base-en-v1.5
ridge
ridge(α=1.0)
fiqa
768
768
5,000
1.043
0.29426
0.50703
0.58035
0.25776
0.48659
0.52972
intfloat/e5-base-v2
nomic-ai/nomic-embed-text-v1.5
ridge
ridge(α=0.1)
fiqa
768
768
5,000
0.99
0.23154
0.3939
0.5878
0.20867
0.37417
0.55769
intfloat/e5-base-v2
Qwen/Qwen3-Embedding-0.6B
ridge
ridge(α=1.0)
fiqa
768
1,024
5,000
1.006
0.1524
0.48124
0.31669
0.12337
0.46616
0.26464
intfloat/e5-base-v2
Qwen/Qwen3-Embedding-4B
ridge
ridge(α=1.0)
fiqa
768
2,560
5,000
1.133
0.14771
0.59965
0.24633
0.1254
0.58402
0.21472
BAAI/bge-base-en-v1.5
intfloat/e5-base-v2
ridge
ridge(α=0.1)
fiqa
768
768
5,000
1.053
0.36108
0.41676
0.86639
0.33896
0.40052
0.84631
BAAI/bge-base-en-v1.5
Alibaba-NLP/gte-base-en-v1.5
ridge
ridge(α=1.0)
fiqa
768
768
5,000
1.165
0.35053
0.50703
0.69133
0.32358
0.48659
0.66499
BAAI/bge-base-en-v1.5
nomic-ai/nomic-embed-text-v1.5
ridge
ridge(α=1.0)
fiqa
768
768
5,000
0.983
0.25674
0.3939
0.65179
0.22333
0.37417
0.59687
BAAI/bge-base-en-v1.5
Qwen/Qwen3-Embedding-0.6B
ridge
ridge(α=1.0)
fiqa
768
1,024
5,000
1.058
0.25615
0.48124
0.53228
0.22121
0.46616
0.47453
BAAI/bge-base-en-v1.5
Qwen/Qwen3-Embedding-4B
ridge
ridge(α=1.0)
fiqa
768
2,560
5,000
1.295
0.27081
0.59965
0.45161
0.24447
0.58402
0.4186
Alibaba-NLP/gte-base-en-v1.5
intfloat/e5-base-v2
ridge
ridge(α=1.0)
fiqa
768
768
5,000
1.008
0.23564
0.41676
0.5654
0.21595
0.40052
0.53918
Alibaba-NLP/gte-base-en-v1.5
BAAI/bge-base-en-v1.5
ridge
ridge(α=1.0)
fiqa
768
768
5,000
1.137
0.30891
0.42673
0.7239
0.27482
0.40601
0.67689
Alibaba-NLP/gte-base-en-v1.5
nomic-ai/nomic-embed-text-v1.5
ridge
ridge(α=1.0)
fiqa
768
768
5,000
0.909
0.22392
0.3939
0.56845
0.20997
0.37417
0.56116
Alibaba-NLP/gte-base-en-v1.5
Qwen/Qwen3-Embedding-0.6B
ridge
ridge(α=1.0)
fiqa
768
1,024
5,000
1.198
0.21805
0.48124
0.45311
0.18563
0.46616
0.39822
Alibaba-NLP/gte-base-en-v1.5
Qwen/Qwen3-Embedding-4B
ridge
ridge(α=1.0)
fiqa
768
2,560
5,000
1.367
0.21981
0.59965
0.36657
0.19028
0.58402
0.32581
nomic-ai/nomic-embed-text-v1.5
intfloat/e5-base-v2
ridge
ridge(α=0.1)
fiqa
768
768
5,000
1.332
0.2925
0.41676
0.70183
0.26748
0.40052
0.66784
nomic-ai/nomic-embed-text-v1.5
BAAI/bge-base-en-v1.5
ridge
ridge(α=0.1)
fiqa
768
768
5,000
1.233
0.32063
0.42673
0.75137
0.29319
0.40601
0.72212
nomic-ai/nomic-embed-text-v1.5
Alibaba-NLP/gte-base-en-v1.5
ridge
ridge(α=0.1)
fiqa
768
768
5,000
1.15
0.35463
0.50703
0.69942
0.32321
0.48659
0.66423
nomic-ai/nomic-embed-text-v1.5
Qwen/Qwen3-Embedding-0.6B
ridge
ridge(α=1.0)
fiqa
768
1,024
5,000
0.915
0.24267
0.48124
0.50426
0.21353
0.46616
0.45805
nomic-ai/nomic-embed-text-v1.5
Qwen/Qwen3-Embedding-4B
ridge
ridge(α=1.0)
fiqa
768
2,560
5,000
2.795
0.25264
0.59965
0.42131
0.23418
0.58402
0.40098
Qwen/Qwen3-Embedding-0.6B
intfloat/e5-base-v2
ridge
ridge(α=1.0)
fiqa
1,024
768
5,000
2.937
0.26671
0.41676
0.63994
0.24603
0.40052
0.61429
Qwen/Qwen3-Embedding-0.6B
BAAI/bge-base-en-v1.5
ridge
ridge(α=1.0)
fiqa
1,024
768
5,000
2.623
0.31712
0.42673
0.74313
0.28719
0.40601
0.70736
Qwen/Qwen3-Embedding-0.6B
Alibaba-NLP/gte-base-en-v1.5
ridge
ridge(α=1.0)
fiqa
1,024
768
5,000
2.328
0.37515
0.50703
0.73988
0.34678
0.48659
0.71266
Qwen/Qwen3-Embedding-0.6B
nomic-ai/nomic-embed-text-v1.5
ridge
ridge(α=1.0)
fiqa
1,024
768
5,000
1.397
0.28312
0.3939
0.71875
0.25042
0.37417
0.66926
Qwen/Qwen3-Embedding-0.6B
Qwen/Qwen3-Embedding-4B
ridge
ridge(α=1.0)
fiqa
1,024
2,560
5,000
1.564
0.45838
0.59965
0.76442
0.43182
0.58402
0.73939
Qwen/Qwen3-Embedding-4B
intfloat/e5-base-v2
ridge
ridge(α=1.0)
fiqa
2,560
768
5,000
2.008
0.31477
0.41676
0.75527
0.28326
0.40052
0.70723
Qwen/Qwen3-Embedding-4B
BAAI/bge-base-en-v1.5
ridge
ridge(α=1.0)
fiqa
2,560
768
5,000
2.073
0.36342
0.42673
0.85165
0.32525
0.40601
0.80109
Qwen/Qwen3-Embedding-4B
Alibaba-NLP/gte-base-en-v1.5
ridge
ridge(α=1.0)
fiqa
2,560
768
5,000
2.084
0.42497
0.50703
0.83815
0.38634
0.48659
0.79396
Qwen/Qwen3-Embedding-4B
nomic-ai/nomic-embed-text-v1.5
ridge
ridge(α=1.0)
fiqa
2,560
768
5,000
2.066
0.29894
0.3939
0.75893
0.27807
0.37417
0.74316
Qwen/Qwen3-Embedding-4B
Qwen/Qwen3-Embedding-0.6B
ridge
ridge(α=1.0)
fiqa
2,560
1,024
5,000
2.212
0.45662
0.48124
0.94884
0.43553
0.46616
0.9343
intfloat/e5-base-v2
BAAI/bge-base-en-v1.5
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
6.484
0.05319
0.07346
0.72406
0.27193
0.3757
0.72379
intfloat/e5-base-v2
Alibaba-NLP/gte-base-en-v1.5
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
0.045
0.02246
0.06875
0.32665
0.10784
0.35949
0.29997
intfloat/e5-base-v2
nomic-ai/nomic-embed-text-v1.5
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
0.044
0.04086
0.06737
0.6065
0.20313
0.34794
0.58381
intfloat/e5-base-v2
Qwen/Qwen3-Embedding-0.6B
procrustes
least_squares
nfcorpus
768
1,024
5,000
0.041
0.04759
0.06875
0.69222
0.23156
0.35642
0.64968
intfloat/e5-base-v2
Qwen/Qwen3-Embedding-4B
procrustes
least_squares
nfcorpus
768
2,560
5,000
0.025
0.0514
0.07864
0.65361
0.25396
0.40618
0.62524
BAAI/bge-base-en-v1.5
intfloat/e5-base-v2
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
0.044
0.06478
0.06924
0.9356
0.32902
0.35503
0.92673
BAAI/bge-base-en-v1.5
Alibaba-NLP/gte-base-en-v1.5
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
0.045
0.04929
0.06875
0.71698
0.25274
0.35949
0.70304
BAAI/bge-base-en-v1.5
nomic-ai/nomic-embed-text-v1.5
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
0.044
0.05886
0.06737
0.87365
0.29972
0.34794
0.86141
BAAI/bge-base-en-v1.5
Qwen/Qwen3-Embedding-0.6B
procrustes
least_squares
nfcorpus
768
1,024
5,000
0.013
0.051
0.06875
0.74175
0.25406
0.35642
0.71281
BAAI/bge-base-en-v1.5
Qwen/Qwen3-Embedding-4B
procrustes
least_squares
nfcorpus
768
2,560
5,000
0.024
0.05586
0.07864
0.71031
0.27433
0.40618
0.67539
Alibaba-NLP/gte-base-en-v1.5
intfloat/e5-base-v2
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
0.045
0.05278
0.06924
0.7623
0.27091
0.35503
0.76307
Alibaba-NLP/gte-base-en-v1.5
BAAI/bge-base-en-v1.5
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
0.046
0.05659
0.07346
0.77042
0.28476
0.3757
0.75794
Alibaba-NLP/gte-base-en-v1.5
nomic-ai/nomic-embed-text-v1.5
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
0.046
0.05343
0.06737
0.79302
0.26811
0.34794
0.77055
Alibaba-NLP/gte-base-en-v1.5
Qwen/Qwen3-Embedding-0.6B
procrustes
least_squares
nfcorpus
768
1,024
5,000
0.013
0.03932
0.06875
0.57193
0.18741
0.35642
0.5258
Alibaba-NLP/gte-base-en-v1.5
Qwen/Qwen3-Embedding-4B
procrustes
least_squares
nfcorpus
768
2,560
5,000
0.025
0.04378
0.07864
0.5567
0.21613
0.40618
0.53211
nomic-ai/nomic-embed-text-v1.5
intfloat/e5-base-v2
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
0.044
0.05602
0.06924
0.80913
0.27732
0.35503
0.78111
nomic-ai/nomic-embed-text-v1.5
BAAI/bge-base-en-v1.5
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
0.045
0.05473
0.07346
0.74503
0.26897
0.3757
0.71592
nomic-ai/nomic-embed-text-v1.5
Alibaba-NLP/gte-base-en-v1.5
procrustes
orthogonal_procrustes
nfcorpus
768
768
5,000
0.046
0.04086
0.06875
0.59434
0.20769
0.35949
0.57773
nomic-ai/nomic-embed-text-v1.5
Qwen/Qwen3-Embedding-0.6B
procrustes
least_squares
nfcorpus
768
1,024
5,000
0.013
0.04929
0.06875
0.71698
0.23881
0.35642
0.67001
nomic-ai/nomic-embed-text-v1.5
Qwen/Qwen3-Embedding-4B
procrustes
least_squares
nfcorpus
768
2,560
5,000
0.024
0.05197
0.07864
0.66082
0.25037
0.40618
0.6164
Qwen/Qwen3-Embedding-0.6B
intfloat/e5-base-v2
procrustes
least_squares
nfcorpus
1,024
768
5,000
0.015
0.05035
0.06924
0.72717
0.25067
0.35503
0.70604
Qwen/Qwen3-Embedding-0.6B
BAAI/bge-base-en-v1.5
procrustes
least_squares
nfcorpus
1,024
768
5,000
0.015
0.05197
0.07346
0.70751
0.26277
0.3757
0.69941
Qwen/Qwen3-Embedding-0.6B
Alibaba-NLP/gte-base-en-v1.5
procrustes
least_squares
nfcorpus
1,024
768
5,000
0.015
0.05002
0.06875
0.72759
0.25114
0.35949
0.69859
Qwen/Qwen3-Embedding-0.6B
nomic-ai/nomic-embed-text-v1.5
procrustes
least_squares
nfcorpus
1,024
768
5,000
0.015
0.04881
0.06737
0.72443
0.24499
0.34794
0.70412
Qwen/Qwen3-Embedding-0.6B
Qwen/Qwen3-Embedding-4B
procrustes
least_squares
nfcorpus
1,024
2,560
5,000
0.035
0.06446
0.07864
0.81959
0.33832
0.40618
0.83294
Qwen/Qwen3-Embedding-4B
intfloat/e5-base-v2
procrustes
least_squares
nfcorpus
2,560
768
5,000
0.051
0.0604
0.06924
0.87237
0.30249
0.35503
0.852
Qwen/Qwen3-Embedding-4B
BAAI/bge-base-en-v1.5
procrustes
least_squares
nfcorpus
2,560
768
5,000
0.046
0.06275
0.07346
0.8543
0.31819
0.3757
0.84693
Qwen/Qwen3-Embedding-4B
Alibaba-NLP/gte-base-en-v1.5
procrustes
least_squares
nfcorpus
2,560
768
5,000
0.046
0.05692
0.06875
0.82783
0.28241
0.35949
0.78558
Qwen/Qwen3-Embedding-4B
nomic-ai/nomic-embed-text-v1.5
procrustes
least_squares
nfcorpus
2,560
768
5,000
0.046
0.05554
0.06737
0.82431
0.27922
0.34794
0.80251
Qwen/Qwen3-Embedding-4B
Qwen/Qwen3-Embedding-0.6B
procrustes
least_squares
nfcorpus
2,560
1,024
5,000
0.047
0.06948
0.06875
1.01061
0.35913
0.35642
1.00759
intfloat/e5-base-v2
BAAI/bge-base-en-v1.5
ridge
ridge(α=0.1)
nfcorpus
768
768
5,000
1.537
0.06243
0.07346
0.84989
0.31893
0.3757
0.84891
intfloat/e5-base-v2
Alibaba-NLP/gte-base-en-v1.5
ridge
ridge(α=1.0)
nfcorpus
768
768
5,000
1.108
0.04524
0.06875
0.65802
0.2266
0.35949
0.63034
intfloat/e5-base-v2
nomic-ai/nomic-embed-text-v1.5
ridge
ridge(α=0.1)
nfcorpus
768
768
5,000
1.264
0.04678
0.06737
0.69434
0.23952
0.34794
0.68841
intfloat/e5-base-v2
Qwen/Qwen3-Embedding-0.6B
ridge
ridge(α=1.0)
nfcorpus
768
1,024
5,000
1.068
0.04378
0.06875
0.63679
0.21083
0.35642
0.59151
intfloat/e5-base-v2
Qwen/Qwen3-Embedding-4B
ridge
ridge(α=1.0)
nfcorpus
768
2,560
5,000
1.1
0.04597
0.07864
0.58454
0.22791
0.40618
0.56111
BAAI/bge-base-en-v1.5
intfloat/e5-base-v2
ridge
ridge(α=0.1)
nfcorpus
768
768
5,000
1.057
0.06227
0.06924
0.8993
0.32094
0.35503
0.90396
BAAI/bge-base-en-v1.5
Alibaba-NLP/gte-base-en-v1.5
ridge
ridge(α=1.0)
nfcorpus
768
768
5,000
0.973
0.05213
0.06875
0.75825
0.26888
0.35949
0.74793
BAAI/bge-base-en-v1.5
nomic-ai/nomic-embed-text-v1.5
ridge
ridge(α=1.0)
nfcorpus
768
768
5,000
0.966
0.0497
0.06737
0.73767
0.25727
0.34794
0.7394
BAAI/bge-base-en-v1.5
Qwen/Qwen3-Embedding-0.6B
ridge
ridge(α=1.0)
nfcorpus
768
1,024
5,000
0.879
0.05059
0.06875
0.73585
0.24903
0.35642
0.69868
BAAI/bge-base-en-v1.5
Qwen/Qwen3-Embedding-4B
ridge
ridge(α=1.0)
nfcorpus
768
2,560
5,000
1.295
0.05383
0.07864
0.68454
0.26657
0.40618
0.65629
End of preview.
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