albertvillanova HF staff commited on
Commit
5ab8924
1 Parent(s): 37284d0

Add en data files

Browse files
README.md CHANGED
@@ -193,16 +193,16 @@ dataset_info:
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  '2': contradiction
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  splits:
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  - name: train
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- num_bytes: 74444346
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  num_examples: 392702
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  - name: test
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- num_bytes: 875142
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  num_examples: 5010
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  - name: validation
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- num_bytes: 433471
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  num_examples: 2490
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- download_size: 483963712
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- dataset_size: 75752959
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  - config_name: es
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  features:
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  - name: premise
@@ -486,6 +486,14 @@ configs:
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  path: el/test-*
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  - split: validation
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  path: el/validation-*
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for "xnli"
 
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  '2': contradiction
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  splits:
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  - name: train
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+ num_bytes: 74444026
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  num_examples: 392702
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  - name: test
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+ num_bytes: 875134
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  num_examples: 5010
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  - name: validation
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+ num_bytes: 433463
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  num_examples: 2490
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+ download_size: 50627367
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+ dataset_size: 75752623
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  - config_name: es
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  features:
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  - name: premise
 
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  path: el/test-*
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  - split: validation
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  path: el/validation-*
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+ - config_name: en
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+ data_files:
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+ - split: train
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+ path: en/train-*
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+ - split: test
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+ path: en/test-*
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+ - split: validation
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+ path: en/validation-*
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  ---
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  # Dataset Card for "xnli"
dataset_infos.json CHANGED
@@ -235,29 +235,23 @@
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  "features": {
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  "premise": {
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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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  "hypothesis": {
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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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  "label": {
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- "num_classes": 3,
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  "names": [
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  "entailment",
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  "neutral",
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  "contradiction"
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  ],
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- "names_file": null,
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- "id": null,
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  "_type": "ClassLabel"
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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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  "builder_name": "xnli",
 
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  "config_name": "en",
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  "version": {
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  "version_str": "1.1.0",
@@ -269,37 +263,26 @@
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  "splits": {
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  "train": {
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  "name": "train",
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- "num_bytes": 74444346,
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  "num_examples": 392702,
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- "dataset_name": "xnli"
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  },
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  "test": {
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  "name": "test",
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- "num_bytes": 875142,
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  "num_examples": 5010,
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- "dataset_name": "xnli"
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  },
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  "validation": {
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  "name": "validation",
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- "num_bytes": 433471,
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  "num_examples": 2490,
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- "dataset_name": "xnli"
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- }
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- },
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- "download_checksums": {
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- "https://dl.fbaipublicfiles.com/XNLI/XNLI-MT-1.0.zip": {
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- "num_bytes": 466098360,
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- "checksum": "f732517ba2fb1d550e9f3c2aabaef6017c91ee2dcec90e878f138764d224db05"
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- },
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- "https://dl.fbaipublicfiles.com/XNLI/XNLI-1.0.zip": {
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- "num_bytes": 17865352,
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- "checksum": "4ba1d5e1afdb7161f0f23c66dc787802ccfa8a25a3ddd3b165a35e50df346ab1"
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  }
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  },
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- "download_size": 483963712,
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- "post_processing_size": null,
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- "dataset_size": 75752959,
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- "size_in_bytes": 559716671
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  },
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  "es": {
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  "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
 
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  "features": {
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  "premise": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "hypothesis": {
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  "dtype": "string",
 
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  "_type": "Value"
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  },
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  "label": {
 
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  "names": [
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  "entailment",
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  "neutral",
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  "contradiction"
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  ],
 
 
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  "_type": "ClassLabel"
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  }
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  },
 
 
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  "builder_name": "xnli",
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+ "dataset_name": "xnli",
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  "config_name": "en",
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  "version": {
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  "version_str": "1.1.0",
 
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  "splits": {
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  "train": {
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  "name": "train",
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+ "num_bytes": 74444026,
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  "num_examples": 392702,
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+ "dataset_name": null
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  },
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  "test": {
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  "name": "test",
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+ "num_bytes": 875134,
273
  "num_examples": 5010,
274
+ "dataset_name": null
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  },
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  "validation": {
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  "name": "validation",
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+ "num_bytes": 433463,
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  "num_examples": 2490,
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+ "dataset_name": null
 
 
 
 
 
 
 
 
 
 
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  }
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  },
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+ "download_size": 50627367,
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+ "dataset_size": 75752623,
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+ "size_in_bytes": 126379990
 
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  },
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  "es": {
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  "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",
en/test-00000-of-00001.parquet ADDED
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en/train-00000-of-00001.parquet ADDED
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en/validation-00000-of-00001.parquet ADDED
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