albertvillanova HF staff commited on
Commit
0f7881c
1 Parent(s): ad17571

Convert dataset to Parquet (#2)

Browse files

- Convert dataset to Parquet (6a11b5c6e1665d17c55c9443a353650bdb026698)
- Add triviaqa_support_only data files (f0f3ea11a790faea682fda5b901849953b67751f)
- Add fever data files (4c52a43cf2569d38e671d4ce6f6804d18b0866bb)
- Add aidayago2 data files (89010f1e790d62827c1afc0ece9aa621b4d8a56c)
- Add wned data files (3053bc568680e23d9d35685cdb4ef5201f4faa9a)
- Add cweb data files (a8e238d1e0eb4f1534c00100ecd31e54c2c27095)
- Add trex data files (114ac088a25b341f0b6f17aa3bfefdb6856622c3)
- Add structured_zeroshot data files (a72a291248a42394c0a10fce90a3af179d87c48b)
- Add hotpotqa data files (4aa12ec3afcbce5a0d1a4781a0ce9b14acca8656)
- Add eli5 data files (fae7986628c7fe96d7f742eb0bb754f276b73f7c)
- Add wow data files (5b1c424eeb7f38bf35973c126c512622270251d4)
- Delete loading script (63fb695c5463293b63dd9741e15d35409cd26748)
- Delete legacy dataset_infos.json (f1264b30d9f9c3f68ffd696c4d01146b8b0713e0)

Files changed (37) hide show
  1. README.md +187 -101
  2. aidayago2/test-00000-of-00001.parquet +3 -0
  3. aidayago2/train-00000-of-00001.parquet +3 -0
  4. aidayago2/validation-00000-of-00001.parquet +3 -0
  5. cweb/test-00000-of-00001.parquet +3 -0
  6. cweb/validation-00000-of-00001.parquet +3 -0
  7. dataset_infos.json +0 -1
  8. eli5/test-00000-of-00001.parquet +3 -0
  9. eli5/train-00000-of-00002.parquet +3 -0
  10. eli5/train-00001-of-00002.parquet +3 -0
  11. eli5/validation-00000-of-00001.parquet +3 -0
  12. fever/test-00000-of-00001.parquet +3 -0
  13. fever/train-00000-of-00001.parquet +3 -0
  14. fever/validation-00000-of-00001.parquet +3 -0
  15. hotpotqa/test-00000-of-00001.parquet +3 -0
  16. hotpotqa/train-00000-of-00001.parquet +3 -0
  17. hotpotqa/validation-00000-of-00001.parquet +3 -0
  18. kilt_tasks.py +0 -259
  19. nq/test-00000-of-00001.parquet +3 -0
  20. nq/train-00000-of-00001.parquet +3 -0
  21. nq/validation-00000-of-00001.parquet +3 -0
  22. structured_zeroshot/test-00000-of-00001.parquet +3 -0
  23. structured_zeroshot/train-00000-of-00001.parquet +3 -0
  24. structured_zeroshot/validation-00000-of-00001.parquet +3 -0
  25. trex/test-00000-of-00001.parquet +3 -0
  26. trex/train-00000-of-00003.parquet +3 -0
  27. trex/train-00001-of-00003.parquet +3 -0
  28. trex/train-00002-of-00003.parquet +3 -0
  29. trex/validation-00000-of-00001.parquet +3 -0
  30. triviaqa_support_only/test-00000-of-00001.parquet +3 -0
  31. triviaqa_support_only/train-00000-of-00001.parquet +3 -0
  32. triviaqa_support_only/validation-00000-of-00001.parquet +3 -0
  33. wned/test-00000-of-00001.parquet +3 -0
  34. wned/validation-00000-of-00001.parquet +3 -0
  35. wow/test-00000-of-00001.parquet +3 -0
  36. wow/train-00000-of-00001.parquet +3 -0
  37. wow/validation-00000-of-00001.parquet +3 -0
README.md CHANGED
@@ -49,8 +49,20 @@ task_ids:
49
  - slot-filling
50
  paperswithcode_id: kilt
51
  pretty_name: KILT
 
 
 
 
 
 
 
 
 
 
 
 
52
  dataset_info:
53
- - config_name: triviaqa_support_only
54
  features:
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  - name: id
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  dtype: string
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- download_size: 111546348
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- dataset_size: 79190885
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- - config_name: fever
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  features:
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  - name: id
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  dtype: string
@@ -215,18 +227,15 @@ dataset_info:
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  - name: wikipedia_id
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- download_size: 45954548
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- - config_name: aidayago2
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  dtype: string
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  - name: test
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- download_size: 26163472
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- dataset_size: 25741990
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- - config_name: cweb
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  - name: id
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- - aidayago2
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1027
  ---
1028
 
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  # Dataset Card for KILT
 
49
  - slot-filling
50
  paperswithcode_id: kilt
51
  pretty_name: KILT
52
+ config_names:
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+ - aidayago2
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+ - cweb
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+ - eli5
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+ - fever
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+ - hotpotqa
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+ - nq
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+ - structured_zeroshot
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+ - trex
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+ - triviaqa_support_only
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+ - wned
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+ - wow
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  - name: id
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+ - split: validation
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+ - split: test
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+ path: structured_zeroshot/train-*
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+ - split: validation
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+ path: triviaqa_support_only/train-*
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+ data_files:
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+ path: wned/validation-*
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+ - split: validation
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+ path: wow/validation-*
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+ - split: test
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+ path: wow/test-*
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  ---
1114
 
1115
  # Dataset Card for KILT
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Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n", "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n", "homepage": "https://github.com/facebookresearch/KILT", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "input": {"dtype": "string", "id": null, "_type": "Value"}, "meta": {"left_context": {"dtype": "string", "id": null, "_type": "Value"}, "mention": {"dtype": 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Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n", "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n", "homepage": "https://github.com/facebookresearch/KILT", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "input": {"dtype": "string", "id": null, "_type": "Value"}, "meta": {"left_context": {"dtype": "string", "id": null, "_type": "Value"}, "mention": {"dtype": 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CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions 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[WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n", "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James 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Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n", "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n 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aidayago2\n- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n", "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus 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[WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n", "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan 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[WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n", "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan 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[WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned\n- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb\n- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex\n- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot\n- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq\n- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa\n- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa\n- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5\n- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow\n\nTo finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).\n", "citation": "@inproceedings{fb_kilt,\n author = {Fabio Petroni and\n Aleksandra Piktus and\n Angela Fan and\n Patrick Lewis and\n Majid Yazdani and\n Nicola De Cao and\n James Thorne and\n Yacine Jernite and\n Vassilis Plachouras and\n Tim Rockt\"aschel and\n Sebastian Riedel},\n title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},\n journal = {CoRR},\n archivePrefix = {arXiv},\n year = {2020},\n", "homepage": "https://github.com/facebookresearch/KILT", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "input": {"dtype": "string", "id": null, "_type": "Value"}, "meta": {"left_context": {"dtype": "string", "id": null, "_type": "Value"}, "mention": {"dtype": "string", "id": null, "_type": "Value"}, "right_context": {"dtype": "string", "id": null, "_type": "Value"}, "partial_evidence": [{"start_paragraph_id": {"dtype": "int32", "id": null, "_type": "Value"}, "end_paragraph_id": {"dtype": "int32", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "section": {"dtype": "string", "id": null, 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kilt_tasks.py DELETED
@@ -1,259 +0,0 @@
1
- # coding=utf-8
2
- # Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
3
- #
4
- # Licensed under the Apache License, Version 2.0 (the "License");
5
- # you may not use this file except in compliance with the License.
6
- # You may obtain a copy of the License at
7
- #
8
- # http://www.apache.org/licenses/LICENSE-2.0
9
- #
10
- # Unless required by applicable law or agreed to in writing, software
11
- # distributed under the License is distributed on an "AS IS" BASIS,
12
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
- # See the License for the specific language governing permissions and
14
- # limitations under the License.
15
-
16
- # Lint as: python3
17
- """KILT tasks training and evaluation data"""
18
-
19
-
20
- import json
21
-
22
- import datasets
23
-
24
-
25
- logger = datasets.logging.get_logger(__name__)
26
-
27
-
28
- _CITATION = """\
29
- @inproceedings{fb_kilt,
30
- author = {Fabio Petroni and
31
- Aleksandra Piktus and
32
- Angela Fan and
33
- Patrick Lewis and
34
- Majid Yazdani and
35
- Nicola De Cao and
36
- James Thorne and
37
- Yacine Jernite and
38
- Vassilis Plachouras and
39
- Tim Rockt\"aschel and
40
- Sebastian Riedel},
41
- title = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},
42
- journal = {CoRR},
43
- archivePrefix = {arXiv},
44
- year = {2020},
45
- """
46
-
47
- _DESCRIPTION = """\
48
- KILT tasks training and evaluation data.
49
- - [FEVER](https://fever.ai) | Fact Checking | fever
50
- - [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
51
- - [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
52
- - [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
53
- - [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
54
- - [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
55
- - [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA | nq
56
- - [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
57
- - [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
58
- - [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
59
- - [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
60
-
61
- To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
62
- """
63
-
64
-
65
- _DATA_URLS = {
66
- "fever": {
67
- "train": "http://dl.fbaipublicfiles.com/KILT/fever-train-kilt.jsonl",
68
- "validation": "http://dl.fbaipublicfiles.com/KILT/fever-dev-kilt.jsonl",
69
- "test": "http://dl.fbaipublicfiles.com/KILT/fever-test_without_answers-kilt.jsonl",
70
- },
71
- "aidayago2": {
72
- "train": "http://dl.fbaipublicfiles.com/KILT/aidayago2-train-kilt.jsonl",
73
- "validation": "http://dl.fbaipublicfiles.com/KILT/aidayago2-dev-kilt.jsonl",
74
- "test": "http://dl.fbaipublicfiles.com/KILT/aidayago2-test_without_answers-kilt.jsonl",
75
- },
76
- "wned": {
77
- "validation": "http://dl.fbaipublicfiles.com/KILT/wned-dev-kilt.jsonl",
78
- "test": "http://dl.fbaipublicfiles.com/KILT/wned-test_without_answers-kilt.jsonl",
79
- },
80
- "cweb": {
81
- "validation": "http://dl.fbaipublicfiles.com/KILT/cweb-dev-kilt.jsonl",
82
- "test": "http://dl.fbaipublicfiles.com/KILT/cweb-test_without_answers-kilt.jsonl",
83
- },
84
- "trex": {
85
- "train": "http://dl.fbaipublicfiles.com/KILT/trex-train-kilt.jsonl",
86
- "validation": "http://dl.fbaipublicfiles.com/KILT/trex-dev-kilt.jsonl",
87
- "test": "http://dl.fbaipublicfiles.com/KILT/trex-test_without_answers-kilt.jsonl",
88
- },
89
- "structured_zeroshot": {
90
- "train": "http://dl.fbaipublicfiles.com/KILT/structured_zeroshot-train-kilt.jsonl",
91
- "validation": "http://dl.fbaipublicfiles.com/KILT/structured_zeroshot-dev-kilt.jsonl",
92
- "test": "http://dl.fbaipublicfiles.com/KILT/structured_zeroshot-test_without_answers-kilt.jsonl",
93
- },
94
- "nq": {
95
- "train": "http://dl.fbaipublicfiles.com/KILT/nq-train-kilt.jsonl",
96
- "validation": "http://dl.fbaipublicfiles.com/KILT/nq-dev-kilt.jsonl",
97
- "test": "http://dl.fbaipublicfiles.com/KILT/nq-test_without_answers-kilt.jsonl",
98
- },
99
- "hotpotqa": {
100
- "train": "http://dl.fbaipublicfiles.com/KILT/hotpotqa-train-kilt.jsonl",
101
- "validation": "http://dl.fbaipublicfiles.com/KILT/hotpotqa-dev-kilt.jsonl",
102
- "test": "http://dl.fbaipublicfiles.com/KILT/hotpotqa-test_without_answers-kilt.jsonl",
103
- },
104
- "triviaqa_support_only": {
105
- "train": "http://dl.fbaipublicfiles.com/KILT/triviaqa-train_id-kilt.jsonl",
106
- "validation": "http://dl.fbaipublicfiles.com/KILT/triviaqa-dev_id-kilt.jsonl",
107
- "test": "http://dl.fbaipublicfiles.com/KILT/triviaqa-test_id_without_answers-kilt.jsonl",
108
- },
109
- "eli5": {
110
- "train": "http://dl.fbaipublicfiles.com/KILT/eli5-train-kilt.jsonl",
111
- "validation": "http://dl.fbaipublicfiles.com/KILT/eli5-dev-kilt.jsonl",
112
- "test": "http://dl.fbaipublicfiles.com/KILT/eli5-test_without_answers-kilt.jsonl",
113
- },
114
- "wow": {
115
- "train": "http://dl.fbaipublicfiles.com/KILT/wow-train-kilt.jsonl",
116
- "validation": "http://dl.fbaipublicfiles.com/KILT/wow-dev-kilt.jsonl",
117
- "test": "http://dl.fbaipublicfiles.com/KILT/wow-test_without_answers-kilt.jsonl",
118
- },
119
- }
120
-
121
-
122
- class KiltTasks(datasets.GeneratorBasedBuilder):
123
-
124
- BUILDER_CONFIGS = [
125
- datasets.BuilderConfig(
126
- name="triviaqa_support_only",
127
- version=datasets.Version("1.0.0"),
128
- description="Supporting paragraphs information for the TriviaQA task",
129
- )
130
- ] + [
131
- datasets.BuilderConfig(
132
- name=k, version=datasets.Version("1.0.0"), description=f"Task data and supporting paragraphs for {k}"
133
- )
134
- for k in _DATA_URLS
135
- if k != "triviaqa_support_only"
136
- ]
137
-
138
- DEFAULT_CONFIG_NAME = "nq"
139
-
140
- def _info(self):
141
- return datasets.DatasetInfo(
142
- description=_DESCRIPTION,
143
- features=datasets.Features(
144
- {
145
- "id": datasets.Value("string"),
146
- "input": datasets.Value("string"),
147
- "meta": {
148
- "left_context": datasets.Value("string"),
149
- "mention": datasets.Value("string"),
150
- "right_context": datasets.Value("string"),
151
- "partial_evidence": [
152
- {
153
- "start_paragraph_id": datasets.Value("int32"),
154
- "end_paragraph_id": datasets.Value("int32"),
155
- "title": datasets.Value("string"),
156
- "section": datasets.Value("string"),
157
- "wikipedia_id": datasets.Value("string"),
158
- "meta": {"evidence_span": [datasets.Value("string")]},
159
- }
160
- ],
161
- "obj_surface": [datasets.Value("string")],
162
- "sub_surface": [datasets.Value("string")],
163
- "subj_aliases": [datasets.Value("string")],
164
- "template_questions": [datasets.Value("string")],
165
- },
166
- "output": [
167
- {
168
- "answer": datasets.Value("string"),
169
- "meta": {"score": datasets.Value("int32")},
170
- "provenance": [
171
- {
172
- "bleu_score": datasets.Value("float32"),
173
- "start_character": datasets.Value("int32"),
174
- "start_paragraph_id": datasets.Value("int32"),
175
- "end_character": datasets.Value("int32"),
176
- "end_paragraph_id": datasets.Value("int32"),
177
- "meta": {
178
- "fever_page_id": datasets.Value("string"),
179
- "fever_sentence_id": datasets.Value("int32"),
180
- "annotation_id": datasets.Value("string"), # int runs into overflow issues
181
- "yes_no_answer": datasets.Value("string"),
182
- "evidence_span": [datasets.Value("string")],
183
- },
184
- "section": datasets.Value("string"),
185
- "title": datasets.Value("string"),
186
- "wikipedia_id": datasets.Value("string"),
187
- }
188
- ],
189
- }
190
- ],
191
- }
192
- ),
193
- supervised_keys=None,
194
- homepage="https://github.com/facebookresearch/KILT",
195
- citation=_CITATION,
196
- )
197
-
198
- def _split_generators(self, dl_manager):
199
- file_paths = dl_manager.download_and_extract(_DATA_URLS[self.config.name])
200
- return [
201
- datasets.SplitGenerator(name=split, gen_kwargs={"filepath": downloaded_path})
202
- for split, downloaded_path in file_paths.items()
203
- ]
204
-
205
- def _generate_examples(self, filepath):
206
- logger.info("generating examples from = %s", filepath)
207
- with open(filepath, encoding="utf-8") as f:
208
- for idx, line in enumerate(f):
209
- article = json.loads(line.strip())
210
- article["input"] = article.get("input", "")
211
- # meta
212
- article["meta"] = article.get("meta", {})
213
- for k in ["left_context", "mention", "right_context"]:
214
- article["meta"][k] = article["meta"].get(k, "")
215
- for k in ["obj_surface", "sub_surface", "subj_aliases", "template_questions"]:
216
- article["meta"][k] = article["meta"].get(k, [])
217
- # partial evidence
218
- article["meta"]["partial_evidence"] = [
219
- {
220
- "start_paragraph_id": partial.get("start_paragraph_id", -1),
221
- "end_paragraph_id": partial.get("end_paragraph_id", -1),
222
- "title": partial.get("title", ""),
223
- "section": partial.get("section", ""),
224
- "wikipedia_id": partial.get("wikipedia_id", ""),
225
- "meta": {"evidence_span": partial.get("meta", {}).get("evidence_span", [])},
226
- }
227
- for partial in article["meta"].get("partial_evidence", [])
228
- ]
229
- # output
230
- article["output"] = [
231
- {
232
- "answer": output.get("answer", ""),
233
- "meta": output.get("meta", {"score": -1}),
234
- "provenance": [
235
- {
236
- "bleu_score": provenance.get("bleu_score", -1.0),
237
- "start_character": provenance.get("start_character", -1),
238
- "start_paragraph_id": provenance.get("start_paragraph_id", -1),
239
- "end_character": provenance.get("end_character", -1),
240
- "end_paragraph_id": provenance.get("end_paragraph_id", -1),
241
- "meta": {
242
- "fever_page_id": provenance.get("meta", {}).get("fever_page_id", ""),
243
- "fever_sentence_id": provenance.get("meta", {}).get("fever_sentence_id", -1),
244
- "annotation_id": str(
245
- provenance.get("meta", {}).get("annotation_id", -1)
246
- ), # int runs into overflow issues
247
- "yes_no_answer": provenance.get("meta", {}).get("yes_no_answer", ""),
248
- "evidence_span": provenance.get("meta", {}).get("evidence_span", []),
249
- },
250
- "section": provenance.get("section", ""),
251
- "title": provenance.get("title", ""),
252
- "wikipedia_id": provenance.get("wikipedia_id", ""),
253
- }
254
- for provenance in output.get("provenance", [])
255
- ],
256
- }
257
- for output in article.get("output", [])
258
- ]
259
- yield idx, article
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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