albertvillanova HF staff commited on
Commit
4086fca
1 Parent(s): 174f253

Add fr data files

Browse files
README.md CHANGED
@@ -243,16 +243,16 @@ 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: 85809099
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  num_examples: 392702
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  - name: test
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- num_bytes: 1029247
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  num_examples: 5010
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  - name: validation
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- num_bytes: 510112
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  num_examples: 2490
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- download_size: 483963712
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- dataset_size: 87348458
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  - config_name: hi
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  features:
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  - name: premise
@@ -502,6 +502,14 @@ configs:
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  path: es/test-*
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  - split: validation
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  path: es/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: 85808779
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  num_examples: 392702
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  - name: test
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+ num_bytes: 1029239
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  num_examples: 5010
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  - name: validation
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+ num_bytes: 510104
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  num_examples: 2490
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+ download_size: 55968680
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+ dataset_size: 87348122
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  - config_name: hi
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  features:
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  - name: premise
 
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  path: es/test-*
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  - split: validation
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  path: es/validation-*
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+ - config_name: fr
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+ data_files:
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+ - split: train
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+ path: fr/train-*
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+ - split: test
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+ path: fr/test-*
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+ - split: validation
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+ path: fr/validation-*
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  ---
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  # Dataset Card for "xnli"
dataset_infos.json CHANGED
@@ -349,29 +349,23 @@
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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": "fr",
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  "version": {
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  "version_str": "1.1.0",
@@ -383,37 +377,26 @@
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  "splits": {
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  "train": {
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  "name": "train",
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- "num_bytes": 85809099,
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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": 1029247,
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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": 510112,
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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": 87348458,
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- "size_in_bytes": 571312170
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  },
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  "hi": {
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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": "fr",
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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": 85808779,
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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": 1029239,
387
  "num_examples": 5010,
388
+ "dataset_name": null
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  },
390
  "validation": {
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  "name": "validation",
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+ "num_bytes": 510104,
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  "num_examples": 2490,
394
+ "dataset_name": null
 
 
 
 
 
 
 
 
 
 
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  }
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  },
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+ "download_size": 55968680,
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+ "dataset_size": 87348122,
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+ "size_in_bytes": 143316802
 
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  },
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  "hi": {
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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",
fr/test-00000-of-00001.parquet ADDED
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fr/train-00000-of-00001.parquet ADDED
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fr/validation-00000-of-00001.parquet ADDED
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