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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
eval_version: string
method: string
description: string
data_source: string
num_surveys: int64
num_eval_surveys: int64
num_train_surveys: int64
total_rows: int64
hard_negatives_per_query: int64
min_references: int64
label_scheme: struct<4: string, 3: string, 2: string, 1: string, 0: string>
child 0, 4: string
child 1, 3: string
child 2, 2: string
child 3, 1: string
child 4, 0: string
label_distribution: struct<2: int64, 1: int64, 3: int64, 4: int64, 0: int64>
child 0, 2: int64
child 1, 1: int64
child 2, 3: int64
child 3, 4: int64
child 4, 0: int64
Random: struct<ndcg@10: double, ndcg@20: double, recall@10: double, recall@20: double, mrr: double, hard_neg (... 13 chars omitted)
child 0, ndcg@10: double
child 1, ndcg@20: double
child 2, recall@10: double
child 3, recall@20: double
child 4, mrr: double
child 5, hard_neg_auc: double
Authority: struct<ndcg@10: double, ndcg@20: double, recall@10: double, recall@20: double, mrr: double, hard_neg (... 13 chars omitted)
child 0, ndcg@10: double
child 1, ndcg@20: double
child 2, recall@10: double
child 3, recall@20: double
child 4, mrr: double
child 5, hard_neg_auc: double
CitationCount: struct<ndcg@10: double, ndcg@20: double, recall@10: double, recall@20: double, mrr: double, hard_neg (... 13 chars omitted)
child 0, ndcg@10: double
child 1, ndcg@20: double
child 2, recall@10: double
child 3, recall@20: double
child 4, mrr: double
child 5, hard_neg_auc: double
Oracle: struct<ndcg@10: double, ndcg@20: double, recall@10: double, recall@20: double, mrr: double, hard_neg (... 13 chars omitted)
child 0, ndcg@10: double
child 1, ndcg@20: double
child 2, recall@10: double
child 3, recall@20: double
child 4, mrr: double
child 5, hard_neg_auc: double
to
{'Random': {'ndcg@10': Value('float64'), 'ndcg@20': Value('float64'), 'recall@10': Value('float64'), 'recall@20': Value('float64'), 'mrr': Value('float64'), 'hard_neg_auc': Value('float64')}, 'CitationCount': {'ndcg@10': Value('float64'), 'ndcg@20': Value('float64'), 'recall@10': Value('float64'), 'recall@20': Value('float64'), 'mrr': Value('float64'), 'hard_neg_auc': Value('float64')}, 'Authority': {'ndcg@10': Value('float64'), 'ndcg@20': Value('float64'), 'recall@10': Value('float64'), 'recall@20': Value('float64'), 'mrr': Value('float64'), 'hard_neg_auc': Value('float64')}, 'Oracle': {'ndcg@10': Value('float64'), 'ndcg@20': Value('float64'), 'recall@10': Value('float64'), 'recall@20': Value('float64'), 'mrr': Value('float64'), 'hard_neg_auc': Value('float64')}}
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 272, 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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
eval_version: string
method: string
description: string
data_source: string
num_surveys: int64
num_eval_surveys: int64
num_train_surveys: int64
total_rows: int64
hard_negatives_per_query: int64
min_references: int64
label_scheme: struct<4: string, 3: string, 2: string, 1: string, 0: string>
child 0, 4: string
child 1, 3: string
child 2, 2: string
child 3, 1: string
child 4, 0: string
label_distribution: struct<2: int64, 1: int64, 3: int64, 4: int64, 0: int64>
child 0, 2: int64
child 1, 1: int64
child 2, 3: int64
child 3, 4: int64
child 4, 0: int64
Random: struct<ndcg@10: double, ndcg@20: double, recall@10: double, recall@20: double, mrr: double, hard_neg (... 13 chars omitted)
child 0, ndcg@10: double
child 1, ndcg@20: double
child 2, recall@10: double
child 3, recall@20: double
child 4, mrr: double
child 5, hard_neg_auc: double
Authority: struct<ndcg@10: double, ndcg@20: double, recall@10: double, recall@20: double, mrr: double, hard_neg (... 13 chars omitted)
child 0, ndcg@10: double
child 1, ndcg@20: double
child 2, recall@10: double
child 3, recall@20: double
child 4, mrr: double
child 5, hard_neg_auc: double
CitationCount: struct<ndcg@10: double, ndcg@20: double, recall@10: double, recall@20: double, mrr: double, hard_neg (... 13 chars omitted)
child 0, ndcg@10: double
child 1, ndcg@20: double
child 2, recall@10: double
child 3, recall@20: double
child 4, mrr: double
child 5, hard_neg_auc: double
Oracle: struct<ndcg@10: double, ndcg@20: double, recall@10: double, recall@20: double, mrr: double, hard_neg (... 13 chars omitted)
child 0, ndcg@10: double
child 1, ndcg@20: double
child 2, recall@10: double
child 3, recall@20: double
child 4, mrr: double
child 5, hard_neg_auc: double
to
{'Random': {'ndcg@10': Value('float64'), 'ndcg@20': Value('float64'), 'recall@10': Value('float64'), 'recall@20': Value('float64'), 'mrr': Value('float64'), 'hard_neg_auc': Value('float64')}, 'CitationCount': {'ndcg@10': Value('float64'), 'ndcg@20': Value('float64'), 'recall@10': Value('float64'), 'recall@20': Value('float64'), 'mrr': Value('float64'), 'hard_neg_auc': Value('float64')}, 'Authority': {'ndcg@10': Value('float64'), 'ndcg@20': Value('float64'), 'recall@10': Value('float64'), 'recall@20': Value('float64'), 'mrr': Value('float64'), 'hard_neg_auc': Value('float64')}, 'Oracle': {'ndcg@10': Value('float64'), 'ndcg@20': Value('float64'), 'recall@10': Value('float64'), 'recall@20': Value('float64'), 'mrr': Value('float64'), 'hard_neg_auc': Value('float64')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
siddhm11/researchit-reranker-data
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
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Usage
from datasets import load_dataset
dataset = load_dataset('siddhm11/researchit-reranker-data')
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