Convert dataset to Parquet

README.md

@@ -49,8 +49,20 @@ task_ids:
 - slot-filling
 paperswithcode_id: kilt
 pretty_name: KILT
+config_names:
+- aidayago2
+- cweb
+- eli5
+- fever
+- hotpotqa
+- nq
+- structured_zeroshot
+- trex
+- triviaqa_support_only
+- wned
+- wow
 dataset_info:
-- config_name: triviaqa_support_only
+- config_name: aidayago2
   features:
   - name: id
     dtype: string
@@ -128,17 +140,17 @@ dataset_info:
         dtype: string
   splits:
   - name: train
-    num_bytes: 72024147
-    num_examples: 61844
+    num_bytes: 68943890
+    num_examples: 18395
   - name: validation
-    num_bytes: 6824774
-    num_examples: 5359
+    num_bytes: 20743172
+    num_examples: 4784
   - name: test
-    num_bytes: 341964
-    num_examples: 6586
-  download_size: 111546348
-  dataset_size: 79190885
-- config_name: fever
+    num_bytes: 14210587
+    num_examples: 4463
+  download_size: 13419920
+  dataset_size: 103897649
+- config_name: cweb
   features:
   - name: id
     dtype: string
@@ -215,18 +227,15 @@ dataset_info:
       - name: wikipedia_id
         dtype: string
   splits:
-  - name: train
-    num_bytes: 23941622
-    num_examples: 104966
   - name: validation
-    num_bytes: 3168503
-    num_examples: 10444
+    num_bytes: 89819252
+    num_examples: 5599
   - name: test
-    num_bytes: 1042660
-    num_examples: 10100
-  download_size: 45954548
-  dataset_size: 28152785
-- config_name: aidayago2
+    num_bytes: 99208393
+    num_examples: 5543
+  download_size: 32809813
+  dataset_size: 189027645
+- config_name: eli5
   features:
   - name: id
     dtype: string
@@ -304,17 +313,17 @@ dataset_info:
         dtype: string
   splits:
   - name: train
-    num_bytes: 68944642
-    num_examples: 18395
+    num_bytes: 525554458
+    num_examples: 272634
   - name: validation
-    num_bytes: 20743548
-    num_examples: 4784
+    num_bytes: 13860033
+    num_examples: 1507
   - name: test
-    num_bytes: 14211859
-    num_examples: 4463
-  download_size: 105637528
-  dataset_size: 103900049
-- config_name: wned
+    num_bytes: 107092
+    num_examples: 600
+  download_size: 329302944
+  dataset_size: 539521583
+- config_name: fever
   features:
   - name: id
     dtype: string
@@ -391,15 +400,18 @@ dataset_info:
       - name: wikipedia_id
         dtype: string
   splits:
+  - name: train
+    num_bytes: 23937486
+    num_examples: 104966
   - name: validation
-    num_bytes: 12659894
-    num_examples: 3396
+    num_bytes: 3167751
+    num_examples: 10444
   - name: test
-    num_bytes: 13082096
-    num_examples: 3376
-  download_size: 26163472
-  dataset_size: 25741990
-- config_name: cweb
+    num_bytes: 1040116
+    num_examples: 10100
+  download_size: 11571038
+  dataset_size: 28145353
+- config_name: hotpotqa
   features:
   - name: id
     dtype: string
@@ -476,15 +488,18 @@ dataset_info:
       - name: wikipedia_id
         dtype: string
   splits:
+  - name: train
+    num_bytes: 33595295
+    num_examples: 88869
   - name: validation
-    num_bytes: 89819628
-    num_examples: 5599
+    num_bytes: 2371262
+    num_examples: 5600
   - name: test
-    num_bytes: 99209665
-    num_examples: 5543
-  download_size: 190444736
-  dataset_size: 189029293
-- config_name: trex
+    num_bytes: 887204
+    num_examples: 5569
+  download_size: 17914796
+  dataset_size: 36853761
+- config_name: nq
   features:
   - name: id
     dtype: string
@@ -562,16 +577,16 @@ dataset_info:
         dtype: string
   splits:
   - name: train
-    num_bytes: 1190269126
-    num_examples: 2284168
+    num_bytes: 30385368
+    num_examples: 87372
   - name: validation
-    num_bytes: 2573820
-    num_examples: 5000
+    num_bytes: 6190373
+    num_examples: 2837
   - name: test
-    num_bytes: 758742
-    num_examples: 5000
-  download_size: 1757029516
-  dataset_size: 1193601688
+    num_bytes: 333162
+    num_examples: 1444
+  download_size: 16535475
+  dataset_size: 36908903
 - config_name: structured_zeroshot
   features:
   - name: id
@@ -650,17 +665,17 @@ dataset_info:
         dtype: string
   splits:
   - name: train
-    num_bytes: 47171201
+    num_bytes: 47165561
     num_examples: 147909
   - name: validation
-    num_bytes: 1612499
+    num_bytes: 1612123
     num_examples: 3724
   - name: test
-    num_bytes: 1141537
+    num_bytes: 1140265
     num_examples: 4966
-  download_size: 74927220
-  dataset_size: 49925237
-- config_name: nq
+  download_size: 21038900
+  dataset_size: 49917949
+- config_name: trex
   features:
   - name: id
     dtype: string
@@ -738,17 +753,17 @@ dataset_info:
         dtype: string
   splits:
   - name: train
-    num_bytes: 30388752
-    num_examples: 87372
+    num_bytes: 1190183022
+    num_examples: 2284168
   - name: validation
-    num_bytes: 6190493
-    num_examples: 2837
+    num_bytes: 2573444
+    num_examples: 5000
   - name: test
-    num_bytes: 334178
-    num_examples: 1444
-  download_size: 60166499
-  dataset_size: 36913423
-- config_name: hotpotqa
+    num_bytes: 757470
+    num_examples: 5000
+  download_size: 546671157
+  dataset_size: 1193513936
+- config_name: triviaqa_support_only
   features:
   - name: id
     dtype: string
@@ -826,17 +841,17 @@ dataset_info:
         dtype: string
   splits:
   - name: train
-    num_bytes: 33598679
-    num_examples: 88869
+    num_bytes: 72021515
+    num_examples: 61844
   - name: validation
-    num_bytes: 2371638
-    num_examples: 5600
+    num_bytes: 6824398
+    num_examples: 5359
   - name: test
-    num_bytes: 888476
-    num_examples: 5569
-  download_size: 57516638
-  dataset_size: 36858793
-- config_name: eli5
+    num_bytes: 340692
+    num_examples: 6586
+  download_size: 31946196
+  dataset_size: 79186605
+- config_name: wned
   features:
   - name: id
     dtype: string
@@ -913,17 +928,14 @@ dataset_info:
       - name: wikipedia_id
         dtype: string
   splits:
-  - name: train
-    num_bytes: 525586490
-    num_examples: 272634
   - name: validation
-    num_bytes: 13860153
-    num_examples: 1507
+    num_bytes: 12659518
+    num_examples: 3396
   - name: test
-    num_bytes: 108108
-    num_examples: 600
-  download_size: 562498660
-  dataset_size: 539554751
+    num_bytes: 13080824
+    num_examples: 3376
+  download_size: 3608615
+  dataset_size: 25740342
 - config_name: wow
   features:
   - name: id
@@ -1002,28 +1014,102 @@ dataset_info:
         dtype: string
   splits:
   - name: train
-    num_bytes: 41873570
+    num_bytes: 41870938
     num_examples: 63734
   - name: validation
-    num_bytes: 2022128
+    num_bytes: 2021752
     num_examples: 3054
   - name: test
-    num_bytes: 1340818
+    num_bytes: 1339546
     num_examples: 2944
-  download_size: 52647339
-  dataset_size: 45236516
-config_names:
-- aidayago2
-- cweb
-- eli5
-- fever
-- hotpotqa
-- nq
-- structured_zeroshot
-- trex
-- triviaqa_support_only
-- wned
-- wow
+  download_size: 25441975
+  dataset_size: 45232236
+configs:
+- config_name: aidayago2
+  data_files:
+  - split: train
+    path: aidayago2/train-*
+  - split: validation
+    path: aidayago2/validation-*
+  - split: test
+    path: aidayago2/test-*
+- config_name: cweb
+  data_files:
+  - split: validation
+    path: cweb/validation-*
+  - split: test
+    path: cweb/test-*
+- config_name: eli5
+  data_files:
+  - split: train
+    path: eli5/train-*
+  - split: validation
+    path: eli5/validation-*
+  - split: test
+    path: eli5/test-*
+- config_name: fever
+  data_files:
+  - split: train
+    path: fever/train-*
+  - split: validation
+    path: fever/validation-*
+  - split: test
+    path: fever/test-*
+- config_name: hotpotqa
+  data_files:
+  - split: train
+    path: hotpotqa/train-*
+  - split: validation
+    path: hotpotqa/validation-*
+  - split: test
+    path: hotpotqa/test-*
+- config_name: nq
+  data_files:
+  - split: train
+    path: nq/train-*
+  - split: validation
+    path: nq/validation-*
+  - split: test
+    path: nq/test-*
+  default: true
+- config_name: structured_zeroshot
+  data_files:
+  - split: train
+    path: structured_zeroshot/train-*
+  - split: validation
+    path: structured_zeroshot/validation-*
+  - split: test
+    path: structured_zeroshot/test-*
+- config_name: trex
+  data_files:
+  - split: train
+    path: trex/train-*
+  - split: validation
+    path: trex/validation-*
+  - split: test
+    path: trex/test-*
+- config_name: triviaqa_support_only
+  data_files:
+  - split: train
+    path: triviaqa_support_only/train-*
+  - split: validation
+    path: triviaqa_support_only/validation-*
+  - split: test
+    path: triviaqa_support_only/test-*
+- config_name: wned
+  data_files:
+  - split: validation
+    path: wned/validation-*
+  - split: test
+    path: wned/test-*
+- config_name: wow
+  data_files:
+  - split: train
+    path: wow/train-*
+  - split: validation
+    path: wow/validation-*
+  - split: test
+    path: wow/test-*
 ---
 
 # Dataset Card for KILT

aidayago2/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:12c60a50ce048bc40fcb3333493d28966d86f645b7b6d10dfc091811a2b07f60
+size 1822282

aidayago2/train-00000-of-00001.parquet

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+oid sha256:e7ab136e681573d6029bdf31f35432705a3fc364af508a693d032cfb3dd5d680
+size 8970521

aidayago2/validation-00000-of-00001.parquet

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+oid sha256:7bbcdcdb8ac67b0ff74099b1623e05429b991c928791f353df63deff23a0608d
+size 2627117

cweb/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a15edeb25fb27c35d2a5b6de3af8a4e8d64bd3962718db0d33e4ac0a17b10985
+size 18839477

cweb/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57803d1340b25dc3b98853a74dd9d43e48b7db03a1892e1152e758e1bed16bbd
+size 13970336

dataset_infos.json

@@ -1 +0,0 @@
-{"triviaqa_support_only": {"description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA 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 [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, "_type": "Value"}, "wikipedia_id": {"dtype": "string", "id": null, "_type": "Value"}, "meta": {"evidence_span": [{"dtype": "string", "id": null, "_type": "Value"}]}}], "obj_surface": [{"dtype": "string", "id": null, "_type": "Value"}], "sub_surface": [{"dtype": "string", "id": null, "_type": "Value"}], "subj_aliases": [{"dtype": "string", "id": null, "_type": "Value"}], "template_questions": [{"dtype": "string", "id": null, "_type": "Value"}]}, "output": [{"answer": {"dtype": "string", "id": null, "_type": "Value"}, "meta": {"score": {"dtype": "int32", "id": null, "_type": "Value"}}, "provenance": [{"bleu_score": {"dtype": "float32", "id": null, "_type": "Value"}, "start_character": {"dtype": "int32", "id": null, "_type": "Value"}, "start_paragraph_id": {"dtype": "int32", "id": null, "_type": "Value"}, "end_character": {"dtype": "int32", "id": null, "_type": "Value"}, "end_paragraph_id": {"dtype": "int32", "id": null, "_type": "Value"}, "meta": {"fever_page_id": {"dtype": "string", "id": null, "_type": "Value"}, "fever_sentence_id": {"dtype": "int32", "id": null, "_type": "Value"}, "annotation_id": {"dtype": "string", "id": null, "_type": "Value"}, "yes_no_answer": {"dtype": "string", "id": null, "_type": "Value"}, "evidence_span": [{"dtype": "string", "id": null, "_type": "Value"}]}, "section": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "wikipedia_id": {"dtype": "string", "id": null, "_type": "Value"}}]}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "kilt_tasks", "config_name": "triviaqa_support_only", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 72024147, "num_examples": 61844, "dataset_name": "kilt_tasks"}, "validation": {"name": "validation", "num_bytes": 6824774, "num_examples": 5359, "dataset_name": "kilt_tasks"}, "test": {"name": "test", "num_bytes": 341964, "num_examples": 6586, "dataset_name": "kilt_tasks"}}, "download_checksums": {"http://dl.fbaipublicfiles.com/KILT/triviaqa-train_id-kilt.jsonl": {"num_bytes": 101613288, "checksum": "509e627a5e606d3b8018c04cd99415d7dca90d7b9a9f491ba0cf2db8c7e999ad"}, "http://dl.fbaipublicfiles.com/KILT/triviaqa-dev_id-kilt.jsonl": {"num_bytes": 9809706, "checksum": "bb505d8437100589de72256bf0d106a4a72da01df5a977fbc778688b8621d5a6"}, "http://dl.fbaipublicfiles.com/KILT/triviaqa-test_id_without_answers-kilt.jsonl": {"num_bytes": 123354, "checksum": "a6904eeb81a269cc675152c72b31c5b3361b40bf277a2973f2836670c7de4a19"}}, "download_size": 111546348, "post_processing_size": null, "dataset_size": 79190885, "size_in_bytes": 190737233}, "fever": {"description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA 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 [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, "_type": "Value"}, "wikipedia_id": {"dtype": "string", "id": null, "_type": "Value"}, "meta": {"evidence_span": [{"dtype": "string", "id": null, "_type": "Value"}]}}], "obj_surface": [{"dtype": "string", "id": 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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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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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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            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[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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"post_processing_size": null, "dataset_size": 539554751, "size_in_bytes": 1102053411}, "wow": {"description": "KILT tasks training and evaluation data.\n- [FEVER](https://fever.ai) | Fact Checking | fever\n- [AIDA 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 [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, "_type": "Value"}, "wikipedia_id": {"dtype": "string", "id": null, "_type": "Value"}, "meta": {"evidence_span": [{"dtype": "string", "id": null, "_type": "Value"}]}}], "obj_surface": [{"dtype": "string", "id": null, "_type": "Value"}], "sub_surface": [{"dtype": "string", "id": null, "_type": "Value"}], "subj_aliases": [{"dtype": "string", "id": null, "_type": "Value"}], "template_questions": [{"dtype": "string", "id": null, "_type": "Value"}]}, "output": [{"answer": {"dtype": "string", "id": null, "_type": "Value"}, "meta": {"score": {"dtype": "int32", "id": null, "_type": "Value"}}, "provenance": [{"bleu_score": {"dtype": "float32", "id": null, "_type": "Value"}, "start_character": {"dtype": "int32", "id": null, "_type": "Value"}, "start_paragraph_id": {"dtype": "int32", "id": null, "_type": "Value"}, "end_character": {"dtype": "int32", "id": null, "_type": "Value"}, "end_paragraph_id": {"dtype": "int32", "id": null, "_type": "Value"}, "meta": {"fever_page_id": {"dtype": "string", "id": null, "_type": "Value"}, "fever_sentence_id": {"dtype": "int32", "id": null, "_type": "Value"}, "annotation_id": {"dtype": "string", "id": null, "_type": "Value"}, "yes_no_answer": {"dtype": "string", "id": null, "_type": "Value"}, "evidence_span": [{"dtype": "string", "id": null, "_type": "Value"}]}, "section": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "wikipedia_id": {"dtype": "string", "id": null, "_type": "Value"}}]}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "kilt_tasks", "config_name": "wow", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 41873570, "num_examples": 63734, "dataset_name": "kilt_tasks"}, "validation": {"name": "validation", "num_bytes": 2022128, "num_examples": 3054, "dataset_name": "kilt_tasks"}, "test": {"name": "test", "num_bytes": 1340818, "num_examples": 2944, "dataset_name": "kilt_tasks"}}, "download_checksums": {"http://dl.fbaipublicfiles.com/KILT/wow-train-kilt.jsonl": {"num_bytes": 48937036, "checksum": "d90e9191d52670e38c340c4aa208e326bbf10f1e85ef6af9b3d3bcb98d3d30fb"}, "http://dl.fbaipublicfiles.com/KILT/wow-dev-kilt.jsonl": {"num_bytes": 2418285, "checksum": "bbf98ea3841f3454e189e69829d6c03149c2e7482b3feda0ea73acf547654c7b"}, 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kilt_tasks.py

@@ -1,259 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Lint as: python3
-"""KILT tasks training and evaluation data"""
-
-
-import json
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-@inproceedings{fb_kilt,
-    author    = {Fabio Petroni and
-                 Aleksandra Piktus and
-                 Angela Fan and
-                 Patrick Lewis and
-                 Majid Yazdani and
-                 Nicola De Cao and
-                 James Thorne and
-                 Yacine Jernite and
-                 Vassilis Plachouras and
-                 Tim Rockt\"aschel and
-                 Sebastian Riedel},
-    title     = {{KILT:} a {B}enchmark for {K}nowledge {I}ntensive {L}anguage {T}asks},
-    journal   = {CoRR},
-    archivePrefix = {arXiv},
-    year      = {2020},
-"""
-
-_DESCRIPTION = """\
-KILT tasks training and evaluation data.
-- [FEVER](https://fever.ai) | Fact Checking | fever
-- [AIDA CoNLL-YAGO](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/ambiverse-nlu/aida/downloads) | Entity Linking | aidayago2
-- [WNED-WIKI](https://github.com/U-Alberta/wned) | Entity Linking | wned
-- [WNED-CWEB](https://github.com/U-Alberta/wned) | Entity Linking | cweb
-- [T-REx](https://hadyelsahar.github.io/t-rex) | Slot Filling | trex
-- [Zero-Shot RE](http://nlp.cs.washington.edu/zeroshot) | Slot Filling | structured_zeroshot
-- [Natural Questions](https://ai.google.com/research/NaturalQuestions) | Open Domain QA  | nq
-- [HotpotQA](https://hotpotqa.github.io) | Open Domain QA | hotpotqa
-- [TriviaQA](http://nlp.cs.washington.edu/triviaqa) | Open Domain QA | triviaqa
-- [ELI5](https://facebookresearch.github.io/ELI5/explore.html) | Open Domain QA | eli5
-- [Wizard of Wikipedia](https://parl.ai/projects/wizard_of_wikipedia) | Dialogue | wow
-
-To finish linking TriviaQA questions to the IDs provided, follow the instructions [here](http://github.com/huggingface/datasets/datasets/kilt_tasks/README.md).
-"""
-
-
-_DATA_URLS = {
-    "fever": {
-        "train": "http://dl.fbaipublicfiles.com/KILT/fever-train-kilt.jsonl",
-        "validation": "http://dl.fbaipublicfiles.com/KILT/fever-dev-kilt.jsonl",
-        "test": "http://dl.fbaipublicfiles.com/KILT/fever-test_without_answers-kilt.jsonl",
-    },
-    "aidayago2": {
-        "train": "http://dl.fbaipublicfiles.com/KILT/aidayago2-train-kilt.jsonl",
-        "validation": "http://dl.fbaipublicfiles.com/KILT/aidayago2-dev-kilt.jsonl",
-        "test": "http://dl.fbaipublicfiles.com/KILT/aidayago2-test_without_answers-kilt.jsonl",
-    },
-    "wned": {
-        "validation": "http://dl.fbaipublicfiles.com/KILT/wned-dev-kilt.jsonl",
-        "test": "http://dl.fbaipublicfiles.com/KILT/wned-test_without_answers-kilt.jsonl",
-    },
-    "cweb": {
-        "validation": "http://dl.fbaipublicfiles.com/KILT/cweb-dev-kilt.jsonl",
-        "test": "http://dl.fbaipublicfiles.com/KILT/cweb-test_without_answers-kilt.jsonl",
-    },
-    "trex": {
-        "train": "http://dl.fbaipublicfiles.com/KILT/trex-train-kilt.jsonl",
-        "validation": "http://dl.fbaipublicfiles.com/KILT/trex-dev-kilt.jsonl",
-        "test": "http://dl.fbaipublicfiles.com/KILT/trex-test_without_answers-kilt.jsonl",
-    },
-    "structured_zeroshot": {
-        "train": "http://dl.fbaipublicfiles.com/KILT/structured_zeroshot-train-kilt.jsonl",
-        "validation": "http://dl.fbaipublicfiles.com/KILT/structured_zeroshot-dev-kilt.jsonl",
-        "test": "http://dl.fbaipublicfiles.com/KILT/structured_zeroshot-test_without_answers-kilt.jsonl",
-    },
-    "nq": {
-        "train": "http://dl.fbaipublicfiles.com/KILT/nq-train-kilt.jsonl",
-        "validation": "http://dl.fbaipublicfiles.com/KILT/nq-dev-kilt.jsonl",
-        "test": "http://dl.fbaipublicfiles.com/KILT/nq-test_without_answers-kilt.jsonl",
-    },
-    "hotpotqa": {
-        "train": "http://dl.fbaipublicfiles.com/KILT/hotpotqa-train-kilt.jsonl",
-        "validation": "http://dl.fbaipublicfiles.com/KILT/hotpotqa-dev-kilt.jsonl",
-        "test": "http://dl.fbaipublicfiles.com/KILT/hotpotqa-test_without_answers-kilt.jsonl",
-    },
-    "triviaqa_support_only": {
-        "train": "http://dl.fbaipublicfiles.com/KILT/triviaqa-train_id-kilt.jsonl",
-        "validation": "http://dl.fbaipublicfiles.com/KILT/triviaqa-dev_id-kilt.jsonl",
-        "test": "http://dl.fbaipublicfiles.com/KILT/triviaqa-test_id_without_answers-kilt.jsonl",
-    },
-    "eli5": {
-        "train": "http://dl.fbaipublicfiles.com/KILT/eli5-train-kilt.jsonl",
-        "validation": "http://dl.fbaipublicfiles.com/KILT/eli5-dev-kilt.jsonl",
-        "test": "http://dl.fbaipublicfiles.com/KILT/eli5-test_without_answers-kilt.jsonl",
-    },
-    "wow": {
-        "train": "http://dl.fbaipublicfiles.com/KILT/wow-train-kilt.jsonl",
-        "validation": "http://dl.fbaipublicfiles.com/KILT/wow-dev-kilt.jsonl",
-        "test": "http://dl.fbaipublicfiles.com/KILT/wow-test_without_answers-kilt.jsonl",
-    },
-}
-
-
-class KiltTasks(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="triviaqa_support_only",
-            version=datasets.Version("1.0.0"),
-            description="Supporting paragraphs information for the TriviaQA task",
-        )
-    ] + [
-        datasets.BuilderConfig(
-            name=k, version=datasets.Version("1.0.0"), description=f"Task data and supporting paragraphs for {k}"
-        )
-        for k in _DATA_URLS
-        if k != "triviaqa_support_only"
-    ]
-
-    DEFAULT_CONFIG_NAME = "nq"
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "input": datasets.Value("string"),
-                    "meta": {
-                        "left_context": datasets.Value("string"),
-                        "mention": datasets.Value("string"),
-                        "right_context": datasets.Value("string"),
-                        "partial_evidence": [
-                            {
-                                "start_paragraph_id": datasets.Value("int32"),
-                                "end_paragraph_id": datasets.Value("int32"),
-                                "title": datasets.Value("string"),
-                                "section": datasets.Value("string"),
-                                "wikipedia_id": datasets.Value("string"),
-                                "meta": {"evidence_span": [datasets.Value("string")]},
-                            }
-                        ],
-                        "obj_surface": [datasets.Value("string")],
-                        "sub_surface": [datasets.Value("string")],
-                        "subj_aliases": [datasets.Value("string")],
-                        "template_questions": [datasets.Value("string")],
-                    },
-                    "output": [
-                        {
-                            "answer": datasets.Value("string"),
-                            "meta": {"score": datasets.Value("int32")},
-                            "provenance": [
-                                {
-                                    "bleu_score": datasets.Value("float32"),
-                                    "start_character": datasets.Value("int32"),
-                                    "start_paragraph_id": datasets.Value("int32"),
-                                    "end_character": datasets.Value("int32"),
-                                    "end_paragraph_id": datasets.Value("int32"),
-                                    "meta": {
-                                        "fever_page_id": datasets.Value("string"),
-                                        "fever_sentence_id": datasets.Value("int32"),
-                                        "annotation_id": datasets.Value("string"),  # int runs into overflow issues
-                                        "yes_no_answer": datasets.Value("string"),
-                                        "evidence_span": [datasets.Value("string")],
-                                    },
-                                    "section": datasets.Value("string"),
-                                    "title": datasets.Value("string"),
-                                    "wikipedia_id": datasets.Value("string"),
-                                }
-                            ],
-                        }
-                    ],
-                }
-            ),
-            supervised_keys=None,
-            homepage="https://github.com/facebookresearch/KILT",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        file_paths = dl_manager.download_and_extract(_DATA_URLS[self.config.name])
-        return [
-            datasets.SplitGenerator(name=split, gen_kwargs={"filepath": downloaded_path})
-            for split, downloaded_path in file_paths.items()
-        ]
-
-    def _generate_examples(self, filepath):
-        logger.info("generating examples from = %s", filepath)
-        with open(filepath, encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                article = json.loads(line.strip())
-                article["input"] = article.get("input", "")
-                # meta
-                article["meta"] = article.get("meta", {})
-                for k in ["left_context", "mention", "right_context"]:
-                    article["meta"][k] = article["meta"].get(k, "")
-                for k in ["obj_surface", "sub_surface", "subj_aliases", "template_questions"]:
-                    article["meta"][k] = article["meta"].get(k, [])
-                # partial evidence
-                article["meta"]["partial_evidence"] = [
-                    {
-                        "start_paragraph_id": partial.get("start_paragraph_id", -1),
-                        "end_paragraph_id": partial.get("end_paragraph_id", -1),
-                        "title": partial.get("title", ""),
-                        "section": partial.get("section", ""),
-                        "wikipedia_id": partial.get("wikipedia_id", ""),
-                        "meta": {"evidence_span": partial.get("meta", {}).get("evidence_span", [])},
-                    }
-                    for partial in article["meta"].get("partial_evidence", [])
-                ]
-                # output
-                article["output"] = [
-                    {
-                        "answer": output.get("answer", ""),
-                        "meta": output.get("meta", {"score": -1}),
-                        "provenance": [
-                            {
-                                "bleu_score": provenance.get("bleu_score", -1.0),
-                                "start_character": provenance.get("start_character", -1),
-                                "start_paragraph_id": provenance.get("start_paragraph_id", -1),
-                                "end_character": provenance.get("end_character", -1),
-                                "end_paragraph_id": provenance.get("end_paragraph_id", -1),
-                                "meta": {
-                                    "fever_page_id": provenance.get("meta", {}).get("fever_page_id", ""),
-                                    "fever_sentence_id": provenance.get("meta", {}).get("fever_sentence_id", -1),
-                                    "annotation_id": str(
-                                        provenance.get("meta", {}).get("annotation_id", -1)
-                                    ),  # int runs into overflow issues
-                                    "yes_no_answer": provenance.get("meta", {}).get("yes_no_answer", ""),
-                                    "evidence_span": provenance.get("meta", {}).get("evidence_span", []),
-                                },
-                                "section": provenance.get("section", ""),
-                                "title": provenance.get("title", ""),
-                                "wikipedia_id": provenance.get("wikipedia_id", ""),
-                            }
-                            for provenance in output.get("provenance", [])
-                        ],
-                    }
-                    for output in article.get("output", [])
-                ]
-                yield idx, article

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