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)
- README.md +187 -101
- aidayago2/test-00000-of-00001.parquet +3 -0
- aidayago2/train-00000-of-00001.parquet +3 -0
- aidayago2/validation-00000-of-00001.parquet +3 -0
- cweb/test-00000-of-00001.parquet +3 -0
- cweb/validation-00000-of-00001.parquet +3 -0
- dataset_infos.json +0 -1
- eli5/test-00000-of-00001.parquet +3 -0
- eli5/train-00000-of-00002.parquet +3 -0
- eli5/train-00001-of-00002.parquet +3 -0
- eli5/validation-00000-of-00001.parquet +3 -0
- fever/test-00000-of-00001.parquet +3 -0
- fever/train-00000-of-00001.parquet +3 -0
- fever/validation-00000-of-00001.parquet +3 -0
- hotpotqa/test-00000-of-00001.parquet +3 -0
- hotpotqa/train-00000-of-00001.parquet +3 -0
- hotpotqa/validation-00000-of-00001.parquet +3 -0
- kilt_tasks.py +0 -259
- nq/test-00000-of-00001.parquet +3 -0
- nq/train-00000-of-00001.parquet +3 -0
- nq/validation-00000-of-00001.parquet +3 -0
- structured_zeroshot/test-00000-of-00001.parquet +3 -0
- structured_zeroshot/train-00000-of-00001.parquet +3 -0
- structured_zeroshot/validation-00000-of-00001.parquet +3 -0
- trex/test-00000-of-00001.parquet +3 -0
- trex/train-00000-of-00003.parquet +3 -0
- trex/train-00001-of-00003.parquet +3 -0
- trex/train-00002-of-00003.parquet +3 -0
- trex/validation-00000-of-00001.parquet +3 -0
- triviaqa_support_only/test-00000-of-00001.parquet +3 -0
- triviaqa_support_only/train-00000-of-00001.parquet +3 -0
- triviaqa_support_only/validation-00000-of-00001.parquet +3 -0
- wned/test-00000-of-00001.parquet +3 -0
- wned/validation-00000-of-00001.parquet +3 -0
- wow/test-00000-of-00001.parquet +3 -0
- wow/train-00000-of-00001.parquet +3 -0
- wow/validation-00000-of-00001.parquet +3 -0
@@ -49,8 +49,20 @@ task_ids:
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- slot-filling
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paperswithcode_id: kilt
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pretty_name: KILT
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---
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# Dataset Card for KILT
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paperswithcode_id: kilt
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pretty_name: KILT
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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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dataset_info:
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- config_name: cweb
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features:
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num_bytes: 2021752
|
1021 |
num_examples: 3054
|
1022 |
- name: test
|
1023 |
+
num_bytes: 1339546
|
1024 |
num_examples: 2944
|
1025 |
+
download_size: 25441975
|
1026 |
+
dataset_size: 45232236
|
1027 |
+
configs:
|
1028 |
+
- config_name: aidayago2
|
1029 |
+
data_files:
|
1030 |
+
- split: train
|
1031 |
+
path: aidayago2/train-*
|
1032 |
+
- split: validation
|
1033 |
+
path: aidayago2/validation-*
|
1034 |
+
- split: test
|
1035 |
+
path: aidayago2/test-*
|
1036 |
+
- config_name: cweb
|
1037 |
+
data_files:
|
1038 |
+
- split: validation
|
1039 |
+
path: cweb/validation-*
|
1040 |
+
- split: test
|
1041 |
+
path: cweb/test-*
|
1042 |
+
- config_name: eli5
|
1043 |
+
data_files:
|
1044 |
+
- split: train
|
1045 |
+
path: eli5/train-*
|
1046 |
+
- split: validation
|
1047 |
+
path: eli5/validation-*
|
1048 |
+
- split: test
|
1049 |
+
path: eli5/test-*
|
1050 |
+
- config_name: fever
|
1051 |
+
data_files:
|
1052 |
+
- split: train
|
1053 |
+
path: fever/train-*
|
1054 |
+
- split: validation
|
1055 |
+
path: fever/validation-*
|
1056 |
+
- split: test
|
1057 |
+
path: fever/test-*
|
1058 |
+
- config_name: hotpotqa
|
1059 |
+
data_files:
|
1060 |
+
- split: train
|
1061 |
+
path: hotpotqa/train-*
|
1062 |
+
- split: validation
|
1063 |
+
path: hotpotqa/validation-*
|
1064 |
+
- split: test
|
1065 |
+
path: hotpotqa/test-*
|
1066 |
+
- config_name: nq
|
1067 |
+
data_files:
|
1068 |
+
- split: train
|
1069 |
+
path: nq/train-*
|
1070 |
+
- split: validation
|
1071 |
+
path: nq/validation-*
|
1072 |
+
- split: test
|
1073 |
+
path: nq/test-*
|
1074 |
+
default: true
|
1075 |
+
- config_name: structured_zeroshot
|
1076 |
+
data_files:
|
1077 |
+
- split: train
|
1078 |
+
path: structured_zeroshot/train-*
|
1079 |
+
- split: validation
|
1080 |
+
path: structured_zeroshot/validation-*
|
1081 |
+
- split: test
|
1082 |
+
path: structured_zeroshot/test-*
|
1083 |
+
- config_name: trex
|
1084 |
+
data_files:
|
1085 |
+
- split: train
|
1086 |
+
path: trex/train-*
|
1087 |
+
- split: validation
|
1088 |
+
path: trex/validation-*
|
1089 |
+
- split: test
|
1090 |
+
path: trex/test-*
|
1091 |
+
- config_name: triviaqa_support_only
|
1092 |
+
data_files:
|
1093 |
+
- split: train
|
1094 |
+
path: triviaqa_support_only/train-*
|
1095 |
+
- split: validation
|
1096 |
+
path: triviaqa_support_only/validation-*
|
1097 |
+
- split: test
|
1098 |
+
path: triviaqa_support_only/test-*
|
1099 |
+
- config_name: wned
|
1100 |
+
data_files:
|
1101 |
+
- split: validation
|
1102 |
+
path: wned/validation-*
|
1103 |
+
- split: test
|
1104 |
+
path: wned/test-*
|
1105 |
+
- config_name: wow
|
1106 |
+
data_files:
|
1107 |
+
- split: train
|
1108 |
+
path: wow/train-*
|
1109 |
+
- split: validation
|
1110 |
+
path: wow/validation-*
|
1111 |
+
- split: test
|
1112 |
+
path: wow/test-*
|
1113 |
---
|
1114 |
|
1115 |
# Dataset Card for KILT
|
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version https://git-lfs.github.com/spec/v1
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size 1822282
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7ab136e681573d6029bdf31f35432705a3fc364af508a693d032cfb3dd5d680
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size 8970521
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version https://git-lfs.github.com/spec/v1
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size 2627117
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version https://git-lfs.github.com/spec/v1
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oid sha256:a15edeb25fb27c35d2a5b6de3af8a4e8d64bd3962718db0d33e4ac0a17b10985
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size 18839477
|
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version https://git-lfs.github.com/spec/v1
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oid sha256:57803d1340b25dc3b98853a74dd9d43e48b7db03a1892e1152e758e1bed16bbd
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size 13970336
|
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|
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-
{"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, 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"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": 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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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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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