albertvillanova HF staff commited on
Commit
2d948f1
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1 Parent(s): bf446c2

Add emotion data files

Browse files
README.md CHANGED
@@ -91,16 +91,16 @@ dataset_info:
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  '3': sadness
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  splits:
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  - name: train
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- num_bytes: 338875
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  num_examples: 3257
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  - name: test
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- num_bytes: 146649
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  num_examples: 1421
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  - name: validation
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- num_bytes: 38277
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  num_examples: 374
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- download_size: 483813
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- dataset_size: 523801
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  - config_name: hate
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  features:
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  - name: text
@@ -314,6 +314,14 @@ configs:
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  path: emoji/test-*
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  - split: validation
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  path: emoji/validation-*
 
 
 
 
 
 
 
 
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  train-eval-index:
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  - config: emotion
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  task: text-classification
 
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  '3': sadness
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  splits:
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  - name: train
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+ num_bytes: 338871
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  num_examples: 3257
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  - name: test
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+ num_bytes: 146645
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  num_examples: 1421
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  - name: validation
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+ num_bytes: 38273
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  num_examples: 374
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+ download_size: 367016
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+ dataset_size: 523789
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  - config_name: hate
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  features:
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  - name: text
 
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  path: emoji/test-*
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  - split: validation
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  path: emoji/validation-*
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+ - config_name: emotion
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+ data_files:
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+ - split: train
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+ path: emotion/train-*
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+ - split: test
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+ path: emotion/test-*
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+ - split: validation
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+ path: emotion/validation-*
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  train-eval-index:
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  - config: emotion
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  task: text-classification
dataset_infos.json CHANGED
@@ -76,29 +76,23 @@
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  "features": {
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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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  "label": {
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- "num_classes": 4,
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  "names": [
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  "anger",
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  "joy",
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  "optimism",
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  "sadness"
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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": " tweet_eval",
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  "config_name": "emotion",
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  "version": {
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  "version_str": "1.1.0",
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- "description": null,
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  "major": 1,
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  "minor": 1,
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  "patch": 0
@@ -106,53 +100,26 @@
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  "splits": {
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  "train": {
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  "name": "train",
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- "num_bytes": 338875,
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  "num_examples": 3257,
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- "dataset_name": " tweet_eval"
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  },
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  "test": {
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  "name": "test",
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- "num_bytes": 146649,
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  "num_examples": 1421,
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- "dataset_name": " tweet_eval"
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  },
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  "validation": {
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  "name": "validation",
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- "num_bytes": 38277,
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  "num_examples": 374,
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- "dataset_name": " tweet_eval"
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- }
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- },
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- "download_checksums": {
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- "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/train_text.txt": {
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- "num_bytes": 306630,
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- "checksum": "2c62f67aeb3eac1aea0e5a9c3d0f4bc337992581f3f858061786a1fb4d79d95e"
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- },
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- "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/train_labels.txt": {
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- "num_bytes": 6514,
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- "checksum": "987e767d8679e18abdf7de37a6d2bcd0a40a296ddd704e8d515cf0e3033c8d9c"
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- },
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- "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/test_text.txt": {
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- "num_bytes": 132523,
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- "checksum": "7e1070f5d3e3fcece5bc73680bff9981e90d8f7b2f1009bfe7a01d059d1c6091"
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- },
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- "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/test_labels.txt": {
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- "num_bytes": 2842,
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- "checksum": "245072348c711961785be6d395997f97cf7fcda3effeae7805664171dc75f913"
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- },
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- "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/val_text.txt": {
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- "num_bytes": 34556,
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- "checksum": "e2e30c86b8cbb97944d6543aedc06eace3bb275cb2f381aba787b838b4f23ca5"
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- },
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- "https://raw.githubusercontent.com/cardiffnlp/tweeteval/main/datasets/emotion/val_labels.txt": {
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- "num_bytes": 748,
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- "checksum": "313730630160b7e0a6b4235b800c76683f4aeeb72d094eb69646630cd5cfe338"
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  }
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  },
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- "download_size": 483813,
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- "post_processing_size": null,
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- "dataset_size": 523801,
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- "size_in_bytes": 1007614
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  },
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  "hate": {
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  "description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n",
 
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  "features": {
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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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  "label": {
 
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  "names": [
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  "anger",
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  "joy",
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  "optimism",
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  "sadness"
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  ],
 
 
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  "_type": "ClassLabel"
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  }
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  },
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+ "builder_name": "tweet_eval",
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+ "dataset_name": "tweet_eval",
 
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  "config_name": "emotion",
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  "version": {
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  "version_str": "1.1.0",
 
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  "major": 1,
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  "minor": 1,
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  "patch": 0
 
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  "splits": {
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  "train": {
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  "name": "train",
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+ "num_bytes": 338871,
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  "num_examples": 3257,
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+ "dataset_name": null
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  },
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  "test": {
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  "name": "test",
109
+ "num_bytes": 146645,
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  "num_examples": 1421,
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+ "dataset_name": null
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  },
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  "validation": {
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  "name": "validation",
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+ "num_bytes": 38273,
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  "num_examples": 374,
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+ "dataset_name": null
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  },
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+ "download_size": 367016,
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+ "dataset_size": 523789,
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+ "size_in_bytes": 890805
 
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  },
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  "hate": {
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  "description": "TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits.\n",
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emotion/train-00000-of-00001.parquet ADDED
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+ size 28591