Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
qid: string
query: string
gt_answer: string
gt_answer_cleaned: string
prediction: string
prediction_cleaned: string
exact_match: double
soft_matches: struct<1.0: bool, 5.0: bool, 10.0: bool, 20.0: bool, 50.0: bool, 90.0: bool>
child 0, 1.0: bool
child 1, 5.0: bool
child 2, 10.0: bool
child 3, 20.0: bool
child 4, 50.0: bool
child 5, 90.0: bool
reasoning_path: list<item: struct<think: string, prediction: string>>
child 0, item: struct<think: string, prediction: string>
child 0, think: string
child 1, prediction: string
n: int64
soft_exact_match: struct<1.0: double, 5.0: double, 10.0: double, 20.0: double, 50.0: double, 90.0: double>
child 0, 1.0: double
child 1, 5.0: double
child 2, 10.0: double
child 3, 20.0: double
child 4, 50.0: double
child 5, 90.0: double
to
{'n': Value('int64'), 'exact_match': Value('float64'), 'soft_exact_match': {'1.0': Value('float64'), '5.0': Value('float64'), '10.0': Value('float64'), '20.0': Value('float64'), '50.0': Value('float64'), '90.0': Value('float64')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
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 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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
qid: string
query: string
gt_answer: string
gt_answer_cleaned: string
prediction: string
prediction_cleaned: string
exact_match: double
soft_matches: struct<1.0: bool, 5.0: bool, 10.0: bool, 20.0: bool, 50.0: bool, 90.0: bool>
child 0, 1.0: bool
child 1, 5.0: bool
child 2, 10.0: bool
child 3, 20.0: bool
child 4, 50.0: bool
child 5, 90.0: bool
reasoning_path: list<item: struct<think: string, prediction: string>>
child 0, item: struct<think: string, prediction: string>
child 0, think: string
child 1, prediction: string
n: int64
soft_exact_match: struct<1.0: double, 5.0: double, 10.0: double, 20.0: double, 50.0: double, 90.0: double>
child 0, 1.0: double
child 1, 5.0: double
child 2, 10.0: double
child 3, 20.0: double
child 4, 50.0: double
child 5, 90.0: double
to
{'n': Value('int64'), 'exact_match': Value('float64'), 'soft_exact_match': {'1.0': Value('float64'), '5.0': Value('float64'), '10.0': Value('float64'), '20.0': Value('float64'), '50.0': Value('float64'), '90.0': 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.
TRQA Experiments
Prebuilt retrieval indices and experiment results accompanying the TRQA dataset.
This repo holds only artifacts. The queries, qrels, and corpora live in
mahtaa/trqa.
Repo structure
| Path | Contents | Retriever type |
|---|---|---|
experiment_results/ |
experiment_results.zip — retrieval + evaluation outputs |
— |
indices/ecommerce/ |
Indices over the synthetic e-commerce corpus | |
bm25/ |
Lucene index | sparse |
spladepp/ |
Lucene index (SPLADE++) | learned sparse |
bge/ |
bge_Flat.index |
dense (FAISS) |
e5/ |
e5_Flat.index |
dense (FAISS) |
contriever/ |
contriever_Flat.index |
dense (FAISS) |
indices/wiki/ |
Indices over the full English Wikipedia corpus | |
bm25/ |
Lucene index | sparse |
spladepp/ |
Lucene index (SPLADE++) | learned sparse |
bge/ |
bge_Flat.index — 5 parts |
dense (FAISS) |
e5/ |
e5_Flat.index — 4 parts |
dense (FAISS) |
contriever/ |
contriever_Flat.index — 4 parts |
dense (FAISS) |
indices/wiki_partial/ |
Indices over the partial Wikipedia corpus | |
e5_partial/ |
e5_Flat.index (exact / flat) |
dense (FAISS) |
Reassembling split indices
The three large Wikipedia dense indices are stored as 45 GB chunks. Concatenate the parts in order before use:
cat bge_Flat.index.part_* > bge_Flat.index
cat e5_Flat.index.part_* > e5_Flat.index
cat contriever_Flat.index.part_* > contriever_Flat.index
cat with a shell glob sorts the suffixes (part_aa, part_ab, …) correctly.
All other indices are ready to use as-is.
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