python-NLP常用数据集0.1.012

XNLI数据集

用户语言翻译和跨语言分类的语料库

1. 官网地址：https://github.com/facebookresearch/XNLI
2. 下载地址：https://dl.fbaipublicfiles.com/XNLI/XNLI-1.0.zip
3. 注意事项：数据集有json格式的，和txt格式的
4. 数据格式

txt格式

language	gold_label	sentence1_binary_parse	sentence2_binary_parse	sentence1_parse	sentence2_parse	sentence1	sentence2	promptID	pairID	genre	label1	label2	label3	label4	label5	sentence1_tokenized	sentence2_tokenized	match
ar	neutral					وقال، ماما، لقد عدت للمنزل.	اتصل بأمه حالما أوصلته حافلة المدرسية.	1	1	facetoface	neutral	contradiction	neutral	neutral	neutral	وقال ، ماما ، لقد عدت للمنزل .	اتصل بأمه حالما أوصلته حافلة المدرسية .	True
ar	contradiction					وقال، ماما، لقد عدت للمنزل.	لم ينطق ببنت شفة.	1	2	facetoface	contradiction	contradiction	contradiction	contradiction	contradiction	وقال ، ماما ، لقد عدت للمنزل .	لم ينطق ببنت شفة .	True
ar	entailment					وقال، ماما، لقد عدت للمنزل.	أخبر أمه أنه قد عاد للمنزل.	1	3	facetoface	entailment	entailment	neutral	entailment	entailment	وقال ، ماما ، لقد عدت للمنزل .	أخبر أمه أنه قد عاد للمنزل .	True
ar	neutral	

json格式

{"annotator_labels": ["neutral", "contradiction", "neutral", "neutral", "neutral"], "genre": "facetoface", "gold_label": "neutral", "language": "ar", "match": "True", "pairID": "1", "promptID": "1", "sentence1": "\u0648\u0642\u0627\u0644\u060c \u0645\u0627\u0645\u0627\u060c \u0644\u0642\u062f \u0639\u062f\u062a \u0644\u0644\u0645\u0646\u0632\u0644.", "sentence1_tokenized": "\u0648\u0642\u0627\u0644 \u060c \u0645\u0627\u0645\u0627 \u060c \u0644\u0642\u062f \u0639\u062f\u062a \u0644\u0644\u0645\u0646\u0632\u0644 .", "sentence2": "\u0627\u062a\u0635\u0644 \u0628\u0623\u0645\u0647 \u062d\u0627\u0644\u0645\u0627 \u0623\u0648\u0635\u0644\u062a\u0647 \u062d\u0627\u0641\u0644\u0629 \u0627\u0644\u0645\u062f\u0631\u0633\u064a\u0629.", "sentence2_tokenized": "\u0627\u062a\u0635\u0644 \u0628\u0623\u0645\u0647 \u062d\u0627\u0644\u0645\u0627 \u0623\u0648\u0635\u0644\u062a\u0647 \u062d\u0627\u0641\u0644\u0629 \u0627\u0644\u0645\u062f\u0631\u0633\u064a\u0629 ."}
{"annotator_labels": ["contradiction", "contradiction", "contradiction", "contradiction", "contradiction"], "genre": "facetoface", "gold_label": "contradiction", "language": "ar", "match": "True", "pairID": "2", "promptID": "1", "sentence1": "\u0648\u0642\u0627\u0644\u060c \u0645\u0627\u0645\u0627\u060c \u0644\u0642\u062f \u0639\u062f\u062a \u0644\u0644\u0645\u0646\u0632\u0644.", "sentence1_tokenized": "\u0648\u0642\u0627\u0644 \u060c \u0645\u0627\u0645\u0627 \u060c \u0644\u0642\u062f \u0639\u062f\u062a \u0644\u0644\u0645\u0646\u0632\u0644 .", "sentence2": "\u0644\u0645 \u064a\u0646\u0637\u0642 \u0628\u0628\u0646\u062a \u0634\u0641\u0629.", "sentence2_tokenized": "\u0644\u0645 \u064a\u0646\u0637\u0642 \u0628\u0628\u0646\u062a \u0634\u0641\u0629 ."}

SQuAD数据集

1. 官网地址：https://rajpurkar.github.io/SQuAD-explorer/
2. 下载地址：https://rajpurkar.github.io/SQuAD-explorer/
3. 注意事项：测试集没有给出，需要在官网提交模型由平台对模型进行测试集的跑分
4. 数据格式：点击https://rajpurkar.github.io/SQuAD-explorer/dataset/dev-v1.1.json

数据由多篇文章组成
一个title就表示一篇文章
文章里由paragraphs组成
paragraphs由多个context组成
每一个context有answers和question

部分数据：

{"data": [{"title": "Super_Bowl_50","paragraphs": [{"context": "Super Bowl 50 was an American football game to determine the champion of the National Football League (NFL) for the 2015 season. The American Football Conference (AFC) champion Denver Broncos defeated the National Football Conference (NFC) champion Carolina Panthers 24\u201310 to earn their third Super Bowl title. The game was played on February 7, 2016, at Levi's Stadium in the San Francisco Bay Area at Santa Clara, California. As this was the 50th Super Bowl, the league emphasized the \"golden anniversary\" with various gold-themed initiatives, as well as temporarily suspending the tradition of naming each Super Bowl game with Roman numerals (under which the game would have been known as \"Super Bowl L\"), so that the logo could prominently feature the Arabic numerals 50.","qas": [{"answers": [{"answer_start": 177,"text": "Denver Broncos"}, {"answer_start": 177,"text": "Denver Broncos"}, {"answer_start": 177,"text": "Denver Broncos"}],"question": "Which NFL team represented the AFC at Super Bowl 50?","id": "56be4db0acb8001400a502ec"}, {"answers": [{"answer_start": 249,"text": "Carolina Panthers"}, {"answer_start": 249,"text": "Carolina Panthers"}, {"answer_start": 249,"text": "Carolina Panthers"}],"question": "Which NFL team represented the NFC at Super Bowl 50?","id": "56be4db0acb8001400a502ed"}, {"answers": [{"answer_start": 403,"text": "Santa Clara, California"}, {"answer_start": 355,"text": "Levi's Stadium"}, {"answer_start": 355,"text": "Levi's Stadium in the San Francisco Bay Area at Santa Clara, California."}],"question": "Where did Super Bowl 50 take place?","id": "56be4db0acb8001400a502ee"}, {"answers": [{"answer_start": 177,"text": "Denver Broncos"}, {"answer_start": 177,"text": "Denver Broncos"}, {"answer_start": 177,"text": "Denver Broncos"}],"question": "Which NFL team won Super Bowl 50?","id": "56be4db0acb8001400a502ef"}, {"answers": [{"answer_start": 488,"text": "gold"}, {"answer_start": 488,"text": "gold"}, {"answer_start": 521,"text": "gold"}],"question": "What color was used to emphasize the 50th anniversary of the Super Bowl?","id": "56be4db0acb8001400a502f0"}