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Convert dataset to Parquet
Browse filesConvert dataset to Parquet.
This dataset uses `tasks`, which are deprecated and will raise an error after the next release of `datasets`. See: https://github.com/huggingface/datasets/pull/6999
- README.md +45 -0
- dataset_infos.json +428 -1
- main/test-00000-of-00001.parquet +3 -0
- main/train-00000-of-00003.parquet +3 -0
- main/train-00001-of-00003.parquet +3 -0
- main/train-00002-of-00003.parquet +3 -0
- main/validation-00000-of-00001.parquet +3 -0
README.md
CHANGED
@@ -22,6 +22,51 @@ pretty_name: 'ASCEND: A Spontaneous Chinese-English Dataset for Code-switching i
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tags:
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- speech-recognition
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- code-switching
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---
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# Dataset Card for ASCEND
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tags:
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- speech-recognition
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- code-switching
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dataset_info:
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config_name: main
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features:
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- name: id
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dtype: string
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- name: path
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dtype: string
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- name: audio
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dtype:
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audio:
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sampling_rate: 16000
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- name: transcription
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dtype: string
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- name: duration
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dtype: float32
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- name: language
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dtype: string
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- name: original_speaker_id
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dtype: int64
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- name: session_id
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dtype: int64
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- name: topic
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dtype: string
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splits:
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- name: train
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num_bytes: 1014573740.14
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num_examples: 9869
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- name: test
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num_bytes: 106171230.135
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num_examples: 1315
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- name: validation
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num_bytes: 106772517.43
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num_examples: 1130
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download_size: 1223536062
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dataset_size: 1227517487.7050002
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configs:
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- config_name: main
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data_files:
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- split: train
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path: main/train-*
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- split: test
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path: main/test-*
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- split: validation
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path: main/validation-*
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default: true
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---
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# Dataset Card for ASCEND
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dataset_infos.json
CHANGED
@@ -1 +1,428 @@
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-
{
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{
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"train": {
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"description": "ASCEND (A Spontaneous Chinese-English Dataset) introduces a high-quality resource of spontaneous multi-turn conversational dialogue Chinese-English code-switching corpus collected in Hong Kong. ASCEND consists of 10.62 hours of spontaneous speech with a total of ~12.3K utterances. The corpus is split into 3 sets: training, validation, and test with a ratio of 8:1:1 while maintaining a balanced gender proportion on each set.\n",
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4 |
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"citation": "@inproceedings{lovenia2021ascend,\n title = {ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation},\n author = {Lovenia, Holy and Cahyawijaya, Samuel and Winata, Genta Indra and Xu, Peng and Yan, Xu and Liu, Zihan and Frieske, Rita and Yu, Tiezheng and Dai, Wenliang and Barezi, Elham J and others},\n booktitle = {Proceedings of the International Conference on Language Resources and Evaluation, {LREC} 2022, 20-25 June 2022, Lu Palais du Pharo, France},\n publisher = {European Language Resources Association},\n year = {2022},\n pages = {}\n}\n",
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"homepage": "https://huggingface.co/datasets/CAiRE/ASCEND",
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"description": "ASCEND (A Spontaneous Chinese-English Dataset) introduces a high-quality resource of spontaneous multi-turn conversational dialogue Chinese-English code-switching corpus collected in Hong Kong. ASCEND consists of 10.62 hours of spontaneous speech with a total of ~12.3K utterances. The corpus is split into 3 sets: training, validation, and test with a ratio of 8:1:1 while maintaining a balanced gender proportion on each set.\n",
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