Datasets:

Sub-tasks:
extractive-qa
Multilinguality:
multilingual
Size Categories:
unknown
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
extended|squad
ArXiv:
Tags:
License:
albertvillanova HF staff commited on
Commit
3b1f0ef
1 Parent(s): 4236455

Add xquad.hi data files

Browse files
README.md CHANGED
@@ -147,10 +147,10 @@ dataset_info:
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  dtype: int32
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  splits:
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  - name: validation
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- num_bytes: 2682975
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  num_examples: 1190
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- download_size: 13962158
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- dataset_size: 2682975
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  - config_name: xquad.ro
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  features:
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  - name: id
@@ -288,6 +288,10 @@ configs:
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  data_files:
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  - split: validation
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  path: xquad.es/validation-*
 
 
 
 
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  - config_name: xquad.vi
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  data_files:
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  - split: validation
 
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  dtype: int32
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  splits:
149
  - name: validation
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+ num_bytes: 2682951
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  num_examples: 1190
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+ download_size: 322083
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+ dataset_size: 2682951
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  - config_name: xquad.ro
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  features:
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  - name: id
 
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  data_files:
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  - split: validation
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  path: xquad.es/validation-*
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+ - config_name: xquad.hi
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+ data_files:
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+ - split: validation
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+ path: xquad.hi/validation-*
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  - config_name: xquad.vi
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  data_files:
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  - split: validation
dataset_infos.json CHANGED
@@ -361,48 +361,37 @@
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  "features": {
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  "id": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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  "context": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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  "question": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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  "answers": {
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  "feature": {
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  "text": {
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  "dtype": "string",
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- "id": null,
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  "_type": "Value"
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  },
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  "answer_start": {
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  "dtype": "int32",
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- "id": null,
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  "_type": "Value"
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  }
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  },
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- "length": -1,
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- "id": null,
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  "_type": "Sequence"
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  }
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  },
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- "post_processed": null,
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- "supervised_keys": null,
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  "task_templates": [
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  {
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- "task": "question-answering-extractive",
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- "question_column": "question",
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- "context_column": "context",
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- "answers_column": "answers"
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  }
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  ],
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  "builder_name": "xquad",
 
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  "config_name": "xquad.hi",
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  "version": {
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  "version_str": "1.0.0",
@@ -414,65 +403,14 @@
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  "splits": {
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  "validation": {
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  "name": "validation",
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- "num_bytes": 2682975,
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  "num_examples": 1190,
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- "dataset_name": "xquad"
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- }
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- },
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- "download_checksums": {
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- "num_bytes": 1582988,
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- "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"
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- },
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- "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {
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- "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"
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- },
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- "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {
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- "num_bytes": 808652,
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- "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"
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- },
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- "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {
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- "num_bytes": 911401,
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- "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"
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- "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {
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- "num_bytes": 609383,
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- "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"
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- "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {
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- "num_bytes": 684322,
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- "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"
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- },
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- "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {
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- "num_bytes": 1680538,
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- "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"
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- },
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- "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {
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- "num_bytes": 1918889,
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- "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"
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- },
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- "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {
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- "num_bytes": 1809143,
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- "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"
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- },
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- "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {
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- "num_bytes": 729506,
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- "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"
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- },
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- "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {
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- "num_bytes": 1896368,
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- "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"
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- },
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- "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {
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- "num_bytes": 661158,
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- "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"
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  }
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  },
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- "download_size": 13962158,
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- "post_processing_size": null,
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- "dataset_size": 2682975,
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- "size_in_bytes": 16645133
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  },
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  "xquad.el": {
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  "description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n",
 
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  "features": {
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  "id": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "context": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "question": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "answers": {
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  "feature": {
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  "text": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "answer_start": {
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  "dtype": "int32",
 
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  "_type": "Value"
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  }
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  },
 
 
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  "_type": "Sequence"
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  }
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  },
 
 
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  "task_templates": [
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  {
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+ "task": "question-answering-extractive"
 
 
 
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  }
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  ],
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  "builder_name": "xquad",
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+ "dataset_name": "xquad",
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  "config_name": "xquad.hi",
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  "version": {
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  "version_str": "1.0.0",
 
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  "splits": {
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  "validation": {
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  "name": "validation",
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+ "num_bytes": 2682951,
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  "num_examples": 1190,
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+ "dataset_name": null
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  },
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+ "download_size": 322083,
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+ "dataset_size": 2682951,
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+ "size_in_bytes": 3005034
 
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  },
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  "xquad.el": {
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  "description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n",
xquad.hi/validation-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:e6c7be8500401994d4812db12380239b4ca844c21b650ebdd393d4aba045177e
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+ size 322083