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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 1 new columns ({'input'})
This happened while the json dataset builder was generating data using
/tmp/hf-datasets-cache/medium/datasets/74261709036473-config-parquet-and-info-Harshatheeswar-webie_data-69a1e9f2/downloads/45b7defa519c18f7ea942531e0952b97e8257f2e3d9922cc85f71966464e3ca6
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: int64
uri: string
input: string
meta_obj: struct<non_formatted_wikidata_id_output: list<item: list<item: string>>, substring_triples: list<item: list<item: string>>, triple_entity_boundaries: list<item: list<item: list<item: int64>>>, mapped_triples: list<item: list<item: string>>, max_nli_scores: list<item: double>>
child 0, non_formatted_wikidata_id_output: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
child 1, substring_triples: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
child 2, triple_entity_boundaries: list<item: list<item: list<item: int64>>>
child 0, item: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
child 3, mapped_triples: list<item: list<item: string>>
child 0, item: list<item: string>
child 0, item: string
child 4, max_nli_scores: list<item: double>
child 0, item: double
output: list<item: struct<instance_matching_status: string, answer: string>>
child 0, item: struct<instance_matching_status: string, answer: string>
child 0, instance_matching_status: string
child 1, answer: string
timestamp: timestamp[s]
span: struct<start: int64, end: int64>
child 0, start: int64
child 1, end: int64
to
{'id': Value(dtype='int64', id=None), 'uri': Value(dtype='string', id=None), 'meta_obj': {'non_formatted_wikidata_id_output': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'substring_triples': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'triple_entity_boundaries': Sequence(feature=Sequence(feature=Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), length=-1, id=None), length=-1, id=None), 'mapped_triples': Sequence(feature=Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), length=-1, id=None), 'max_nli_scores': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}, 'output': [{'instance_matching_status': Value(dtype='string', id=None), 'answer': Value(dtype='string', id=None)}], 'timestamp': Value(dtype='timestamp[s]', id=None), 'span': {'start': Value(dtype='int64', id=None), 'end': Value(dtype='int64', id=None)}}
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 1396, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1045, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1884, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2015, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 1 new columns ({'input'})
This happened while the json dataset builder was generating data using
/tmp/hf-datasets-cache/medium/datasets/74261709036473-config-parquet-and-info-Harshatheeswar-webie_data-69a1e9f2/downloads/45b7defa519c18f7ea942531e0952b97e8257f2e3d9922cc85f71966464e3ca6
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.
id int64 | uri string | meta_obj dict | output list | timestamp timestamp[us] | span dict |
|---|---|---|---|---|---|
1,494 | https://www.buzzfeed.com/jonmichaelpoff/netflix-tips-hacks?utm_term=.ytdBlNQ0N | {
"non_formatted_wikidata_id_output": null,
"substring_triples": null,
"triple_entity_boundaries": null,
"mapped_triples": null,
"max_nli_scores": null
} | [
{
"instance_matching_status": "title",
"answer": " "
}
] | 2019-04-20T06:51:22 | {
"start": 159,
"end": 246
} |
1,055,169 | https://forums.macrumors.com/threads/yet-another-networking-question-from-a-newbie.177023/ | {
"non_formatted_wikidata_id_output": null,
"substring_triples": null,
"triple_entity_boundaries": null,
"mapped_triples": null,
"max_nli_scores": null
} | [
{
"instance_matching_status": "title",
"answer": " "
}
] | 2019-04-19T00:33:25 | {
"start": 2847,
"end": 2941
} |
3,985,116 | https://www.miamiherald.com/miami-com/things-to-do/article225776970.html | {
"non_formatted_wikidata_id_output": [
[
"Q6003918",
"P706",
"Q129296"
],
[
"Q617169",
"P706",
"Q129296"
]
],
"substring_triples": [
[
"Imerovigli",
"located in/on physical feature",
"Santorini"
],
[
"Fira",
"located in/on physical feature",
"Santorini"
]
],
"triple_entity_boundaries": [
[
[
53,
63
],
[
80,
89
]
],
[
[
95,
99
],
[
80,
89
]
]
],
"mapped_triples": [
[
"Imerovigli",
"located in/on physical feature",
"Santorini"
],
[
"Fira",
"located in/on physical feature",
"Santorini"
]
],
"max_nli_scores": [
0.9917932152748101,
0.9767683744430541
]
} | [
{
"instance_matching_status": "title",
"answer": " <sub> Imerovigli <rel> located in/on physical feature <obj> Santorini <et> <sub> Fira <rel> located in/on physical feature <obj> Santorini <et>"
}
] | 2019-04-20T02:24:02 | {
"start": 3262,
"end": 3394
} |
93,625 | https://www.adweek.com/digital/move-bustle-making-be-go-source-everything-millennial-woman-175655/ | {
"non_formatted_wikidata_id_output": null,
"substring_triples": null,
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"max_nli_scores": null
} | [
{
"instance_matching_status": "title",
"answer": " "
}
] | 2019-04-26T12:21:07 | {
"start": 1675,
"end": 1821
} |
21,741,785 | https://www.si.com/2015/05/12/ap-ath-hypo-meeting-johnson-thompson | {
"non_formatted_wikidata_id_output": [
[
"Q698573",
"P17",
"Q40"
]
],
"substring_triples": [
[
"Gotzis",
"country",
"Austria"
]
],
"triple_entity_boundaries": [
[
[
133,
139
],
[
141,
148
]
]
],
"mapped_triples": [
[
"Götzis",
"country",
"Austria"
]
],
"max_nli_scores": [
0.9956446886062621
]
} | [
{
"instance_matching_status": "title",
"answer": " <sub> Götzis <rel> country <obj> Austria <et>"
}
] | 2019-04-19T12:20:43 | {
"start": 0,
"end": 175
} |
15,705,483 | https://link.springer.com/chapter/10.1057/978-1-137-30427-8_2?wt_mc=Other.Other.10.CON694.SOCIALMOVEMENTSFTATWO&utm_medium=other&utm_source=other&utm_content=socialmovementsftatwo&utm_campaign=10_verity.bingham_socialmovementsftatwo | {
"non_formatted_wikidata_id_output": [
[
"Q7225420",
"P159",
"Q350"
]
],
"substring_triples": [
[
"Polity Press",
"headquarters location",
"Cambridge"
]
],
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[
[
82,
94
],
[
71,
80
]
]
],
"mapped_triples": [
[
"Polity (publisher)",
"headquarters location",
"Cambridge"
]
],
"max_nli_scores": [
0.9971381425857541
]
} | [
{
"instance_matching_status": "title",
"answer": " <sub> Polity (publisher) <rel> headquarters location <obj> Cambridge <et>"
}
] | 2019-04-21T02:39:13 | {
"start": 2911,
"end": 3013
} |
58,119 | https://www.forbes.com/sites/marksparrow/2019/04/16/new-audiolab-6000n-play-brings-wireless-streaming-to-any-home-audio-system/ | {
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} | [
{
"instance_matching_status": "title",
"answer": " "
}
] | 2019-04-25T22:06:12 | {
"start": 3417,
"end": 3493
} |
666,690 | http://www.city-data.com/forum/economics/2914504-mortgages-theyll-never-let-happen-again-3.html | {
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} | [
{
"instance_matching_status": "title",
"answer": " "
}
] | 2019-04-23T16:58:11 | {
"start": 595,
"end": 782
} |
483,187 | https://en.wikipedia.org/wiki/Thai_basil | {
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} | [
{
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"answer": " "
}
] | 2019-04-25T06:12:19 | {
"start": 941,
"end": 996
} |
6,914,893 | https://www.rt.com/news/163456-daredevils-skyscraper-climb-pov/ | {
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[
"Q673223",
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]
],
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[
"Elbe Philharmonic Hall",
"location",
"Hamburg"
]
],
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[
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],
[
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]
]
],
"mapped_triples": [
[
"Elbphilharmonie",
"location",
"Hamburg"
]
],
"max_nli_scores": [
0.99726665019989
]
} | [
{
"instance_matching_status": "title",
"answer": " <sub> Elbphilharmonie <rel> location <obj> Hamburg <et>"
}
] | 2019-04-22T02:10:58 | {
"start": 3961,
"end": 4133
} |
11,340,332 | https://ipfs.io/ipfs/QmXoypizjW3WknFiJnKLwHCnL72vedxjQkDDP1mXWo6uco/wiki/Istanbul_pogrom.html | {
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[
"Q43",
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],
[
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[
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],
[
"Q5152",
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],
[
"Q5152",
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],
[
"Q5152",
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[
"Q5152",
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],
[
"Q5152",
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]
],
"substring_triples": [
[
"Turkey",
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"Turkish"
],
[
"Turkey",
"ethnic group",
"Turkish"
],
[
"Turkey",
"ethnic group",
"Turkish"
],
[
"Turkey",
"ethnic group",
"Turkish"
],
[
"Atatürk",
"country of citizenship",
"Turkey"
],
[
"Atatürk",
"ethnic group",
"Turkish"
],
[
"Atatürk",
"ethnic group",
"Turkish"
],
[
"Atatürk",
"ethnic group",
"Turkish"
],
[
"Atatürk",
"ethnic group",
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]
],
"triple_entity_boundaries": [
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],
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[
"Turkey",
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"Turkish people"
],
[
"Turkey",
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"Turkish people"
],
[
"Turkey",
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"Turkish people"
],
[
"Turkey",
"ethnic group",
"Turkish people"
],
[
"Mustafa Kemal Atatürk",
"country of citizenship",
"Turkey"
],
[
"Mustafa Kemal Atatürk",
"ethnic group",
"Turkish people"
],
[
"Mustafa Kemal Atatürk",
"ethnic group",
"Turkish people"
],
[
"Mustafa Kemal Atatürk",
"ethnic group",
"Turkish people"
],
[
"Mustafa Kemal Atatürk",
"ethnic group",
"Turkish people"
]
],
"max_nli_scores": [
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0.9976309537887571,
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0.9939363598823541,
0.9939363598823541,
0.9939363598823541,
0.9939363598823541
]
} | [
{
"instance_matching_status": "title",
"answer": " <sub> Turkey <rel> ethnic group <obj> Turkish people <et> <sub> Turkey <rel> ethnic group <obj> Turkish people <et> <sub> Turkey <rel> ethnic group <obj> Turkish people <et> <sub> Turkey <rel> ethnic group <obj> Turkish people <et> <sub> Mustafa Kemal Atatü... | 2019-04-25T16:01:30 | {
"start": 29380,
"end": 29674
} |
959,323 | https://www.rt.com/russia/medvedev-russia-s-ready-for-nukes-reduction/ | {
"non_formatted_wikidata_id_output": null,
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} | [
{
"instance_matching_status": "title",
"answer": " "
}
] | 2019-04-21T20:40:23 | {
"start": 853,
"end": 1031
} |
23,435,452 | https://www.cinemablend.com/games/1719070/microsoft-speaks-on-the-future-of-the-fable-series | {
"non_formatted_wikidata_id_output": [
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],
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],
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],
"max_nli_scores": [
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} | [
{
"instance_matching_status": "title",
"answer": " <sub> Microsoft <rel> product or material produced <obj> Xbox (console) <et>"
}
] | 2019-04-22T18:51:46 | {
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} |
1,087,681 | https://en.m.wikipedia.org/wiki/Federation_(spacecraft) | {
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} | [
{
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}
] | 2019-04-22T06:10:42 | {
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} |
511,275 | https://www.instructables.com/member/peter_3d/ | {
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} | [
{
"instance_matching_status": "title",
"answer": " "
}
] | 2019-04-25T07:12:47 | {
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} |
418,505 | https://www.ncbi.nlm.nih.gov/pubmed/27413125 | {
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} | [
{
"instance_matching_status": "title",
"answer": " "
}
] | 2019-04-22T04:17:23 | {
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} |
17,671,421 | https://en.wikipedia.org/wiki/Assol | {
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],
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[
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],
[
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],
[
"Ukraine",
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],
[
"Assol",
"country of citizenship",
"Ukraine"
]
],
"triple_entity_boundaries": [
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],
[
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"Ukrainian language"
],
[
"Ukraine",
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"Ukrainian language"
],
[
"Ukraine",
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"Ukrainian language"
],
[
"Assol",
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"Ukraine"
]
],
"max_nli_scores": [
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} | [
{
"instance_matching_status": "title",
"answer": " <sub> Assol <rel> country of citizenship <obj> Ukraine <et> <sub> Ukrainian language <rel> indigenous to <obj> Ukraine <et> <sub> Ukraine <rel> native language <obj> Ukrainian language <et> <sub> Ukraine <rel> language used <obj> Ukrainian language <et> <su... | 2019-04-20T01:02:13 | {
"start": 103,
"end": 259
} |
18,069,754 | https://www.thesun.co.uk/sport/8210404/wwe-roman-reigns-cancer-update/ | {
"non_formatted_wikidata_id_output": [
[
"Q18754",
"P161",
"Q275971"
]
],
"substring_triples": [
[
"Monday Night Raw",
"cast member",
"Reigns"
]
],
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[
[
96,
112
],
[
0,
6
]
]
],
"mapped_triples": [
[
"WWE Raw",
"cast member",
"Roman Reigns"
]
],
"max_nli_scores": [
0.998297989368438
]
} | [
{
"instance_matching_status": "title",
"answer": " <sub> WWE Raw <rel> cast member <obj> Roman Reigns <et>"
}
] | 2019-04-25T00:25:47 | {
"start": 963,
"end": 1076
} |
1,160,927 | https://www.androidheadlines.com/2011/10/review-motorola-photon-a-4g-phone.html | {
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