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Error code: StreamingRowsError Exception: CastError Message: Couldn't cast instruction: string prompt: string chosen: string rejected: string -- schema metadata -- pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 537 to {'instruction': Value(dtype='string', id=None), 'entrée': Value(dtype='string', id=None), 'réponse': Value(dtype='string', id=None)} because column names don't match Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise return get_rows( File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 77, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2093, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 279, in __iter__ for key, pa_table in self.generate_tables_fn(**gen_kwags): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 93, 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 71, 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 2292, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast instruction: string prompt: string chosen: string rejected: string -- schema metadata -- pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 537 to {'instruction': Value(dtype='string', id=None), 'entrée': Value(dtype='string', id=None), 'réponse': Value(dtype='string', id=None)} because column names don't match
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📊 Test3
Ce dataset contient des données d'API au format JSONL et Parquet, avec des variantes de questions et leurs réponses associées.
📂 Structure des Fichiers
data.parquet
: Dataset principal au format Parquetdataset_base.jsonl
: Données de basedataset_dpo.jsonl
etdataset_dpo.parquet
: Format DPO avec paires chosen/rejecteddataset_avec_variantes.jsonl
: Données avec variantes de questionsdataset_final.parquet
: Dataset final au format Parquet
⚙️ Utilisation avec datasets
from datasets import load_dataset
# Charger le dataset
dataset = load_dataset("yann23/test3")
# Accéder aux données
for example in dataset["train"]:
print(example)
📋 Format des Données
Chaque entrée contient :
instruction
: Instructions détailléesentrée
: Questions possiblesréponse
: Réponse JSON formatée
📊 Statistiques
- Nombre d'exemples : 0
- Taille totale : 0.0 MB
📜 Licence
CC-BY-4.0 : Attribution requise.
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