Datasets:
Refactor dataset_infos.json: enhance dataset description, update feature structure, and add task templates for clarity
Browse files- 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
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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://
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"license": "cc-by-4.0",
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"features": {
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"audio_id":
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"audio": {
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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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}
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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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}
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