Edmon02 commited on
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35820be
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1 Parent(s): 9de6859

Refactor dataset_infos.json: enhance dataset description, update feature structure, and add task templates for clarity

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  1. dataset_infos.json +56 -13
dataset_infos.json CHANGED
@@ -1,33 +1,76 @@
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  {
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  "default": {
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- "description": "HyVoxPopuli - Armenian VoxPopuli Dataset",
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  "citation": "@dataset{hyvoxpopuli2023,\n title = {HyVoxPopuli: Armenian VoxPopuli Dataset},\n year = {2023},\n publisher = {Hugging Face},\n journal = {Hugging Face Datasets},\n url = {https://huggingface.co/datasets/Edmon02/hyvoxpopuli}\n}",
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- "homepage": "https://github.com/Edmon02/hyvoxpopuli",
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  "license": "cc-by-4.0",
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  "features": {
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- "audio_id": "string",
 
 
 
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  "audio": {
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- "path": "string",
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- "array": "float32[]",
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- "sampling_rate": "int32"
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- },
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- "raw_text": "string",
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- "normalized_text": "string",
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- "gender": "string",
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- "speaker_id": "string",
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- "is_gold_transcript": "bool",
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- "accent": "string"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  },
 
 
 
 
 
 
 
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  "splits": {
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  "train": {
 
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  "num_examples": 498
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  },
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  "validation": {
 
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  "num_examples": 62
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  },
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  "test": {
 
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  "num_examples": 63
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  }
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  }
 
 
 
 
 
 
 
 
 
 
 
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  }
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  }
 
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  {
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  "default": {
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+ "description": "HyVoxPopuli (Armenian VoxPopuli) is a subset of the Facebook VoxPopuli dataset containing only Armenian language content. It is a high-quality collection of Armenian speech recordings with expert-validated transcriptions, derived from VoxPopuli dataset (https://github.com/facebookresearch/voxpopuli). The 'hy' prefix denotes that this is the Armenian language portion of the dataset.",
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  "citation": "@dataset{hyvoxpopuli2023,\n title = {HyVoxPopuli: Armenian VoxPopuli Dataset},\n year = {2023},\n publisher = {Hugging Face},\n journal = {Hugging Face Datasets},\n url = {https://huggingface.co/datasets/Edmon02/hyvoxpopuli}\n}",
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+ "homepage": "https://huggingface.co/datasets/Edmon02/hyvoxpopuli",
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  "license": "cc-by-4.0",
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  "features": {
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+ "audio_id": {
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+ "_type": "Value",
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+ "dtype": "string"
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+ },
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  "audio": {
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+ "_type": "Audio",
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+ "sampling_rate": 16000,
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+ "mono": true,
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+ "decode": true
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+ },
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+ "raw_text": {
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+ "_type": "Value",
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+ "dtype": "string"
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+ },
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+ "normalized_text": {
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+ "_type": "Value",
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+ "dtype": "string"
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+ },
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+ "speaker_id": {
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+ "_type": "Value",
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+ "dtype": "string"
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+ },
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+ "gender": {
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+ "_type": "Value",
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+ "dtype": "string"
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+ },
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+ "is_gold_transcript": {
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+ "_type": "Value",
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+ "dtype": "bool"
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+ },
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+ "accent": {
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+ "_type": "Value",
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+ "dtype": "string"
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+ }
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  },
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+ "task_templates": [
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+ {
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+ "task": "automatic-speech-recognition",
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+ "audio_column": "audio",
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+ "transcription_column": "normalized_text"
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+ }
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+ ],
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  "splits": {
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  "train": {
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+ "name": "train",
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  "num_examples": 498
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  },
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  "validation": {
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+ "name": "validation",
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  "num_examples": 62
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  },
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  "test": {
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+ "name": "test",
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  "num_examples": 63
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  }
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  }
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+ },
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+ "splits": {
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+ "train": {
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+ "num_examples": 498
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+ },
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+ "validation": {
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+ "num_examples": 62
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+ },
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+ "test": {
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+ "num_examples": 63
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+ }
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  }
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  }