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Datasets:
artefactory
/
natural-questions

Tasks:
Question Answering
Languages:
English
License:
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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
annotations: list<item: struct<annotation_id: double, long_answer: struct<candidate_index: int64, end_byte: int64 (... 192 chars omitted)
  child 0, item: struct<annotation_id: double, long_answer: struct<candidate_index: int64, end_byte: int64, end_token (... 180 chars omitted)
      child 0, annotation_id: double
      child 1, long_answer: struct<candidate_index: int64, end_byte: int64, end_token: int64, start_byte: int64, start_token: in (... 4 chars omitted)
          child 0, candidate_index: int64
          child 1, end_byte: int64
          child 2, end_token: int64
          child 3, start_byte: int64
          child 4, start_token: int64
      child 2, short_answers: list<item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64>>
          child 0, item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64>
              child 0, end_byte: int64
              child 1, end_token: int64
              child 2, start_byte: int64
              child 3, start_token: int64
      child 3, yes_no_answer: string
document_html: string
document_title: string
document_tokens: list<item: struct<end_byte: int64, html_token: bool, start_byte: int64, token: string>>
  child 0, item: struct<end_byte: int64, html_token: bool, start_byte: int64, token: string>
      child 0, end_byte: int64
      child 1, html_token: bool
      child 2, start_byte: int64
      child 3, token: string
document_url: string
example_id: int64
long_answer_candidates: list<item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64, top_leve (... 9 chars omitted)
  child 0, item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64, top_level: bool>
      child 0, end_byte: int64
      child 1, end_token: int64
      child 2, start_byte: int64
      child 3, start_token: int64
      child 4, top_level: bool
question_text: string
question_tokens: list<item: string>
  child 0, item: string
document_text: string
to
{'document_text': Value('string'), 'long_answer_candidates': List({'start_token': Value('int64'), 'top_level': Value('bool'), 'end_token': Value('int64')}), 'question_text': Value('string'), 'annotations': List({'yes_no_answer': Value('string'), 'long_answer': {'start_token': Value('int64'), 'candidate_index': Value('int64'), 'end_token': Value('int64')}, 'short_answers': List({'start_token': Value('int64'), 'end_token': Value('int64')}), 'annotation_id': Value('float64')}), 'document_url': Value('string'), 'example_id': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              annotations: list<item: struct<annotation_id: double, long_answer: struct<candidate_index: int64, end_byte: int64 (... 192 chars omitted)
                child 0, item: struct<annotation_id: double, long_answer: struct<candidate_index: int64, end_byte: int64, end_token (... 180 chars omitted)
                    child 0, annotation_id: double
                    child 1, long_answer: struct<candidate_index: int64, end_byte: int64, end_token: int64, start_byte: int64, start_token: in (... 4 chars omitted)
                        child 0, candidate_index: int64
                        child 1, end_byte: int64
                        child 2, end_token: int64
                        child 3, start_byte: int64
                        child 4, start_token: int64
                    child 2, short_answers: list<item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64>>
                        child 0, item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64>
                            child 0, end_byte: int64
                            child 1, end_token: int64
                            child 2, start_byte: int64
                            child 3, start_token: int64
                    child 3, yes_no_answer: string
              document_html: string
              document_title: string
              document_tokens: list<item: struct<end_byte: int64, html_token: bool, start_byte: int64, token: string>>
                child 0, item: struct<end_byte: int64, html_token: bool, start_byte: int64, token: string>
                    child 0, end_byte: int64
                    child 1, html_token: bool
                    child 2, start_byte: int64
                    child 3, token: string
              document_url: string
              example_id: int64
              long_answer_candidates: list<item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64, top_leve (... 9 chars omitted)
                child 0, item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64, top_level: bool>
                    child 0, end_byte: int64
                    child 1, end_token: int64
                    child 2, start_byte: int64
                    child 3, start_token: int64
                    child 4, top_level: bool
              question_text: string
              question_tokens: list<item: string>
                child 0, item: string
              document_text: string
              to
              {'document_text': Value('string'), 'long_answer_candidates': List({'start_token': Value('int64'), 'top_level': Value('bool'), 'end_token': Value('int64')}), 'question_text': Value('string'), 'annotations': List({'yes_no_answer': Value('string'), 'long_answer': {'start_token': Value('int64'), 'candidate_index': Value('int64'), 'end_token': Value('int64')}, 'short_answers': List({'start_token': Value('int64'), 'end_token': Value('int64')}), 'annotation_id': Value('float64')}), 'document_url': Value('string'), 'example_id': Value('int64')}
              because column names don't match
              
              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 1379, 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 956, 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 1702, 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 1887, 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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document_text
string
long_answer_candidates
list
question_text
string
annotations
list
document_url
string
example_id
int64
Email marketing - Wikipedia <H1> Email marketing </H1> Jump to : navigation , search <Table> <Tr> <Td> </Td> <Td> ( hide ) This article has multiple issues . Please help improve it or discuss these issues on the talk page . ( Learn how and when to remove these template messages ) <Table> <Tr> <Td> </Td> <Td> This artic...
[ { "start_token": 14, "top_level": true, "end_token": 170 }, { "start_token": 15, "top_level": false, "end_token": 169 }, { "start_token": 52, "top_level": false, "end_token": 103 }, { "start_token": 53, "top_level": false, "end_token": 102 }, { "st...
which is the most common use of opt-in e-mail marketing
[ { "yes_no_answer": "NONE", "long_answer": { "start_token": 1952, "candidate_index": 54, "end_token": 2019 }, "short_answers": [ { "start_token": 1960, "end_token": 1969 } ], "annotation_id": 593165450220027600 } ]
https://en.wikipedia.org//w/index.php?title=Email_marketing&amp;oldid=814071202
5,655,493,461,695,504,000
The Mother ( How I Met Your Mother ) - wikipedia <H1> The Mother ( How I Met Your Mother ) </H1> Jump to : navigation , search <Table> <Tr> <Th_colspan="2"> Tracy McConnell </Th> </Tr> <Tr> <Td_colspan="2"> How I Met Your Mother character </Td> </Tr> <Tr> <Td_colspan="2"> The Mother appearing in `` The Locket '' </Td> ...
[ { "start_token": 28, "top_level": true, "end_token": 212 }, { "start_token": 29, "top_level": false, "end_token": 35 }, { "start_token": 35, "top_level": false, "end_token": 45 }, { "start_token": 45, "top_level": false, "end_token": 57 }, { "start...
how i.met your mother who is the mother
[ { "yes_no_answer": "NONE", "long_answer": { "start_token": 212, "candidate_index": 15, "end_token": 310 }, "short_answers": [ { "start_token": 213, "end_token": 215 } ], "annotation_id": 12034874153783788000 } ]
https://en.wikipedia.org//w/index.php?title=The_Mother_(How_I_Met_Your_Mother)&amp;oldid=802354471
5,328,212,470,870,865,000
Human fertilization - wikipedia <H1> Human fertilization </H1> Jump to : navigation , search <Table> <Tr> <Td> Part of a series on </Td> </Tr> <Tr> <Th> Human growth and development </Th> </Tr> <Tr> <Td> </Td> </Tr> <Tr> <Th> Stages </Th> </Tr> <Tr> <Td> <Ul> <Li> Human embryogenesis </Li> <Li> Fetus </Li> <Li> Infant ...
[ { "start_token": 14, "top_level": true, "end_token": 225 }, { "start_token": 15, "top_level": false, "end_token": 24 }, { "start_token": 24, "top_level": false, "end_token": 32 }, { "start_token": 36, "top_level": false, "end_token": 41 }, { "start...
what type of fertilisation takes place in humans
[ { "yes_no_answer": "NONE", "long_answer": { "start_token": 319, "candidate_index": 24, "end_token": 438 }, "short_answers": [], "annotation_id": 10527123009892725000 } ]
https://en.wikipedia.org//w/index.php?title=Human_fertilization&amp;oldid=831042507
4,435,104,480,114,867,700
List of National Football League career quarterback wins leaders - wikipedia <H1> List of National Football League career quarterback wins leaders </H1> Jump to : navigation , search <Table> <Tr> <Th> NFL lists </Th> </Tr> <Tr> <Td> Current season ( show ) <Ul> <Li> 2017 season </Li> </Ul> </Td> </Tr> <Tr> <Td> Quarter...
[ { "start_token": 28, "top_level": true, "end_token": 469 }, { "start_token": 29, "top_level": false, "end_token": 35 }, { "start_token": 35, "top_level": false, "end_token": 50 }, { "start_token": 42, "top_level": false, "end_token": 48 }, { "start...
who had the most wins in the nfl
[ { "yes_no_answer": "NONE", "long_answer": { "start_token": 509, "candidate_index": 59, "end_token": 576 }, "short_answers": [ { "start_token": 512, "end_token": 514 } ], "annotation_id": 14634796365152557000 } ]
https://en.wikipedia.org//w/index.php?title=List_of_National_Football_League_career_quarterback_wins_leaders&amp;oldid=818143757
5,289,242,154,789,678,000
"Roanoke Colony - wikipedia <H1> Roanoke Colony </H1> Jump to : navigation , search `` Lost Colony '(...TRUNCATED)
[{"start_token":32,"top_level":true,"end_token":88},{"start_token":33,"top_level":false,"end_token":(...TRUNCATED)
what happened to the lost settlement of roanoke
[{"yes_no_answer":"NONE","long_answer":{"start_token":-1,"candidate_index":-1,"end_token":-1},"short(...TRUNCATED)
https://en.wikipedia.org//w/index.php?title=Roanoke_Colony&amp;oldid=843591647
5,489,863,933,082,811,000
"List of regions of Africa - wikipedia <H1> List of regions of Africa </H1> <Table> <Tr> <Td> </Td> (...TRUNCATED)
[{"start_token":14,"top_level":true,"end_token":65},{"start_token":15,"top_level":false,"end_token":(...TRUNCATED)
what are the different regions of africa and how do they differ
[{"yes_no_answer":"NONE","long_answer":{"start_token":-1,"candidate_index":-1,"end_token":-1},"short(...TRUNCATED)
https://en.wikipedia.org//w/index.php?title=List_of_regions_of_Africa&amp;oldid=846015670
3,411,244,446,249,505,000
"Pom Klementieff - wikipedia <H1> Pom Klementieff </H1> Jump to : navigation , search <Table> <Tr> <(...TRUNCATED)
[{"start_token":14,"top_level":true,"end_token":82},{"start_token":15,"top_level":false,"end_token":(...TRUNCATED)
who played mantis guardians of the galaxy 2
[{"yes_no_answer":"NONE","long_answer":{"start_token":82,"candidate_index":7,"end_token":169},"short(...TRUNCATED)
https://en.wikipedia.org//w/index.php?title=Pom_Klementieff&amp;oldid=829523540
-2,500,044,561,429,484,500
"Frosty the Snowman ( film ) - wikipedia <H1> Frosty the Snowman ( film ) </H1> Jump to : navigation(...TRUNCATED)
[{"start_token":22,"top_level":true,"end_token":73},{"start_token":23,"top_level":false,"end_token":(...TRUNCATED)
who did the voice of the magician in frosty the snowman
[{"yes_no_answer":"NONE","long_answer":{"start_token":-1,"candidate_index":-1,"end_token":-1},"short(...TRUNCATED)
https://en.wikipedia.org//w/index.php?title=Frosty_the_Snowman_(film)&amp;oldid=826437974
5,611,750,702,541,347,000
"History of the Acadians - wikipedia <H1> History of the Acadians </H1> Not to be confused with Hist(...TRUNCATED)
[{"start_token":23,"top_level":true,"end_token":96},{"start_token":96,"top_level":true,"end_token":2(...TRUNCATED)
what indian tribe did the acadians form friendships and alliances with
[{"yes_no_answer":"NONE","long_answer":{"start_token":562,"candidate_index":3,"end_token":695},"shor(...TRUNCATED)
https://en.wikipedia.org//w/index.php?title=History_of_the_Acadians&amp;oldid=844900571
4,958,098,854,057,393,000
"Outer Banks - wikipedia <H1> Outer Banks </H1> Jump to : navigation , search The Outer Banks , sepa(...TRUNCATED)
[{"start_token":59,"top_level":true,"end_token":128},{"start_token":128,"top_level":true,"end_token"(...TRUNCATED)
what is considered the outer banks in north carolina
[{"yes_no_answer":"NONE","long_answer":{"start_token":-1,"candidate_index":-1,"end_token":-1},"short(...TRUNCATED)
https://en.wikipedia.org//w/index.php?title=Outer_Banks&amp;oldid=843381612
8,796,576,945,844,451,000
End of preview.

Natural Questions (original files)

Unmodified copies of the original Google Natural Questions release files, used as the raw source by ReDSI to build artefactory/nq320k.

File Content
data/simplified-nq-train.jsonl.gz simplified training set
data/simplified-nq-dev.jsonl.gz simplified development set
data/nq-dev-all.jsonl.gz full development set

License and attribution

This dataset is derived from Natural Questions (Kwiatkowski et al., 2019, Natural Questions: a Benchmark for Question Answering Research, TACL), released by Google under the Creative Commons Attribution-ShareAlike 3.0 license. This dataset is distributed under the same license.

Code: artefactory/redsi.
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