albertvillanova HF staff commited on
Commit
0e5fc6a
1 Parent(s): d108e7e

Add sw data files

Browse files
README.md CHANGED
@@ -318,16 +318,16 @@ 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: 69286045
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  num_examples: 392702
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  - name: test
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- num_bytes: 871659
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  num_examples: 5010
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  - name: validation
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- num_bytes: 429858
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  num_examples: 2490
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- download_size: 483963712
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- dataset_size: 70587562
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  - config_name: th
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  features:
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  - name: premise
@@ -526,6 +526,14 @@ configs:
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  path: ru/test-*
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  - split: validation
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  path: ru/validation-*
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for "xnli"
 
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  '2': contradiction
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  splits:
320
  - name: train
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+ num_bytes: 69285725
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  num_examples: 392702
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  - name: test
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+ num_bytes: 871651
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  num_examples: 5010
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  - name: validation
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+ num_bytes: 429850
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  num_examples: 2490
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+ download_size: 45564152
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+ dataset_size: 70587226
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  - config_name: th
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  features:
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  - name: premise
 
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  path: ru/test-*
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  - split: validation
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  path: ru/validation-*
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+ - config_name: sw
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+ data_files:
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+ - split: train
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+ path: sw/train-*
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+ - split: test
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+ path: sw/test-*
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+ - split: validation
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+ path: sw/validation-*
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  ---
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  # Dataset Card for "xnli"
dataset_infos.json CHANGED
@@ -520,29 +520,23 @@
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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": "sw",
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  "version": {
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  "version_str": "1.1.0",
@@ -554,37 +548,26 @@
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  "splits": {
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  "train": {
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  "name": "train",
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- "num_bytes": 69286045,
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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": 871659,
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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": 429858,
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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": 70587562,
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- "size_in_bytes": 554551274
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  },
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  "th": {
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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": "sw",
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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": 69285725,
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  "num_examples": 392702,
553
+ "dataset_name": null
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  },
555
  "test": {
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  "name": "test",
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+ "num_bytes": 871651,
558
  "num_examples": 5010,
559
+ "dataset_name": null
560
  },
561
  "validation": {
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  "name": "validation",
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+ "num_bytes": 429850,
564
  "num_examples": 2490,
565
+ "dataset_name": null
 
 
 
 
 
 
 
 
 
 
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  }
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  },
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+ "download_size": 45564152,
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+ "dataset_size": 70587226,
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+ "size_in_bytes": 116151378
 
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  },
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  "th": {
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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",
sw/test-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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sw/train-00000-of-00001.parquet ADDED
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sw/validation-00000-of-00001.parquet ADDED
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