Duplicate from CAiRE/ASCEND

Co-authored-by: Holy Lovenia <holylovenia@users.noreply.huggingface.co>

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README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- crowdsourced
+language:
+- en
+- zh
+license:
+- cc-by-sa-4.0
+multilinguality:
+- multilingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- automatic-speech-recognition
+task_ids: []
+pretty_name: 'ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in
+  Multi-turn Conversation'
+tags:
+- speech-recognition
+- code-switching
+dataset_info:
+  config_name: main
+  features:
+  - name: id
+    dtype: string
+  - name: path
+    dtype: string
+  - name: audio
+    dtype:
+      audio:
+        sampling_rate: 16000
+  - name: transcription
+    dtype: string
+  - name: duration
+    dtype: float32
+  - name: language
+    dtype: string
+  - name: original_speaker_id
+    dtype: int64
+  - name: session_id
+    dtype: int64
+  - name: topic
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1014573740.14
+    num_examples: 9869
+  - name: test
+    num_bytes: 106171230.135
+    num_examples: 1315
+  - name: validation
+    num_bytes: 106772517.43
+    num_examples: 1130
+  download_size: 1223536062
+  dataset_size: 1227517487.7050002
+configs:
+- config_name: main
+  data_files:
+  - split: train
+    path: main/train-*
+  - split: test
+    path: main/test-*
+  - split: validation
+    path: main/validation-*
+  default: true
+---
+
+# Dataset Card for ASCEND
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Usage](#usage)
+- [Dataset Structure](#dataset-structure)
+  - [Data Splits](#data-instances)
+- [Additional Information](#additional-information)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** [Needs More Information]
+- **Repository:** [Needs More Information]
+- **Paper:** https://arxiv.org/abs/2112.06223
+- **Leaderboard:** [Needs More Information]
+- **Point of Contact:** [Needs More Information]
+
+### Dataset Summary
+
+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.
+
+### Supported Tasks and Leaderboards
+
+Code-switching
+
+### Languages
+
+Chinese and English
+
+## Usage
+
+To obtain the full dataset (complete with train, validation, and test set), simply run this:
+
+```
+import datasets
+dataset = datasets.load_dataset("CAiRE/ASCEND")
+```
+
+## Dataset Structure
+
+A typical data point comprises the path to the audio file, the loaded audio array, and its transcription. Additional fields include datapoint id, duration, language, speaker id, session id, and topic.
+
+```
+{
+	'id': '00644',
+	'path': '.cache/huggingface/datasets/downloads/extracted/f0b33b5266cd9452ee310eef3577cf7adb7f29aa54dbff74b9a8ee406a55d614/waves/ses2_spk3_L13101_189.900_5.490.wav',
+	'audio': {
+		'path': '.cache/huggingface/datasets/downloads/extracted/f0b33b5266cd9452ee310eef3577cf7adb7f29aa54dbff74b9a8ee406a55d614/waves/ses2_spk3_L13101_189.900_5.490.wav',
+		'array': array([-6.1035156e-05, -1.8310547e-04, 3.0517578e-05, ...,
+			0.0000000e+00, -3.0517578e-05, 0.0000000e+00
+		], dtype = float32),
+		'sampling_rate': 16000
+	},
+	'transcription': '因为你不可能邀你的female friends去说走我们去play basketball',
+	'duration': 5.489999771118164,
+	'language': 'mixed',
+	'original_speaker_id': 3,
+	'session_id': 2,
+	'topic': 'sports'
+}
+```
+
+### Data Splits
+
+Number of utterances: 9,869 train, 1,130 validation, and 1,315 test.
+
+## Additional Information
+
+For comprehensive explanations, please check [our paper](https://arxiv.org/pdf/2112.06223.pdf).
+
+### Licensing Information
+
+Creative Common Attribution Share-Alike 4.0 International (CC-BY-SA 4.0)
+
+### Citation Information
+
+If you use our dataset, please cite us:
+
+```
+@inproceedings{lovenia2022ascend,
+  title={ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation},
+  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},
+  booktitle={Proceedings of the 13th Language Resources and Evaluation Conference (LREC)},
+  year={2022}
+ ```

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