Datasets:
Tasks:
Automatic Speech Recognition
Formats:
csv
Languages:
Chinese
Size:
10K - 100K
ArXiv:
License:
| license: cc-by-nc-sa-4.0 | |
| task_categories: | |
| - automatic-speech-recognition | |
| language: | |
| - zh | |
| pretty_name: Chinese-LiPS | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: "meta_train.csv" | |
| - split: valid | |
| path: "meta_valid.csv" | |
| - split: test | |
| path: "meta_test.csv" | |
| extra_gated_prompt: >- | |
| This dataset is made available for academic and non-commercial research | |
| purposes only. By accessing or using the dataset, you agree to comply with the | |
| following terms and conditions: | |
| 1. The dataset may only be used for academic research and educational | |
| purposes. Any commercial use, including but not limited to commercial product | |
| development, commercial speech recognition services, or monetization of the | |
| dataset in any form, is strictly prohibited. | |
| 2. The dataset must not be used for any research or applications that may | |
| infringe upon the privacy rights of the recorded participants. Any attempt to | |
| re-identify participants or extract personally identifiable information from | |
| the dataset is strictly prohibited. Researchers must ensure that their use of | |
| the dataset aligns with ethical research practices and institutional review | |
| board (IRB) guidelines where applicable. | |
| 3. If a participant (or their legal guardian) requests the removal of their | |
| data from the dataset, all recipients of the dataset must comply by deleting | |
| the affected data from their records. Researchers must acknowledge that such | |
| withdrawal requests may occur and agree to take reasonable steps to ensure | |
| compliance. | |
| 4. The dataset, in whole or in part, may not be redistributed, resold, or | |
| shared with any third party. Each researcher or institution must independently | |
| request access to the dataset and agree to these terms. | |
| 5. Any published work (e.g., papers, reports, presentations) that uses this | |
| dataset must properly cite the dataset as specified in the accompanying | |
| documentation. | |
| 6. You may create derived works (e.g., processed versions of the dataset) for | |
| research purposes, but such derivatives must not be distributed beyond your | |
| research group without prior written permission from the dataset | |
| maintainers. | |
| 7. The dataset is provided "as is" without any warranties, express or implied. | |
| The dataset maintainers are not responsible for any direct or indirect | |
| consequences arising from the use of the dataset. | |
| 8. Failure to comply with these terms may result in revocation of dataset | |
| access. The dataset maintainers reserve the right to deny access to any | |
| individual or institution found in violation of these terms. | |
| 9. If the researcher is employed by a for-profit, commercial entity, the | |
| researcher's employer shall also be bound by these terms and conditions, and | |
| the researcher hereby represents that they are fully authorized to enter into | |
| this agreement on behalf of such employer. | |
| By requesting access to the dataset, you acknowledge that you have read, | |
| understood, and agreed to these terms. | |
| extra_gated_fields: | |
| Name: text | |
| Email: text | |
| Affiliation: text | |
| Position: text | |
| Your Supervisor/manager/director: text | |
| I agree to the Terms of Access: checkbox | |
| I agree to use this dataset for non-commercial use ONLY: checkbox | |
| size_categories: | |
| - 10K<n<100K | |
| # Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides | |
| [](https://huggingface.co/datasets/BAAI/Chinese-LiPS) [](https://creativecommons.org/licenses/by-nc-sa/4.0/) [](https://kiri0824.github.io/Chinese-LiPS/) [](https://arxiv.org/abs/2504.15066) | |
| ## ⭐ Introduction | |
| The **Chinese-LiPS** dataset is a multimodal dataset designed for audio-visual speech recognition (AVSR) in Mandarin Chinese. This dataset combines speech, video, and textual transcriptions to enhance automatic speech recognition (ASR) performance, especially in educational and instructional scenarios. | |
| ## 🚀 Dataset Details | |
| - **Total Duration:** 100.84 hours | |
| - **Number of Speakers:** 207 professional speakers | |
| - **Number of Clips:** 36,208 video clips | |
| - **Audio Format:** Stereo WAV, 48 kHz sampling rate | |
| - Video Format: | |
| - **Slide Video:** 1080p resolution, 30 fps | |
| - **Lip-Reading Video:** 720p resolution, 30 fps | |
| - **Annotations:** JSON format with transcriptions and extracted text from slides | |
| ### Dataset Statistics | |
| | Split | Duration (hrs) | # Segments | # Speakers | | |
| | ---------- | -------------- | ---------- | ---------- | | |
| | Train | 85.37 | 30,341 | 175 | | |
| | Validation | 5.35 | 1,959 | 11 | | |
| | Test | 10.12 | 3,908 | 21 | | |
| | **Total** | **100.84** | **36,208** | **207** | | |
| ## 📂 Dataset Organization | |
| The dataset is structured into several compressed files: | |
| - **image.zip**: First-frame images from slide videos (used for OCR and vision-language models). | |
| - **processed_test.zip processed_val.zip processed_train.zip**: Processed data with 16 kHz audio, 96×96 25-frame lip-reading videos, and JSON annotations. | |
| - train.zip, test.zip, val.zip: Data split into training, testing, and validation sets. Each contains: | |
| ``` | |
| ├── ID1_age_gender_topic/ | |
| │ ├── WAV/ | |
| │ │ ├── ID1_age_gender_topic_001.json # Annotation file | |
| │ │ ├── ID1_age_gender_topic_001.wav # Audio file (48 kHz) | |
| │ ├── PPT/ | |
| │ │ ├── ID1_age_gender_topic_001_PPT.mp4 # Slide video (1080p 30fps) | |
| │ ├── FACE/ | |
| │ │ ├── ID1_age_gender_topic_001_FACE.mp4 # Lip-reading video (720p 30fps) | |
| ├── ... | |
| ``` | |
| - **meta_all.csv, meta_train.csv, meta_valid.csv, meta_test.csv**: Metadata files with ID, TOPIC, WAV, PPT, FACE, and TEXT fields. | |
| The TOPIC field is abbreviated in Chinese as follows: DZJJ = E-sports & Gaming, JKYS = Health & Wellness, KJ = Science & Technology, LY = Travel & Exploration, QC = Automobile & Industry, RWLS = Culture & History, TY = Sports & Competitions, YS = Movies & TV Series, ZX = Others. | |
| - **meta_test.json**: Includes OCR and InternVL2 prompts for the test set. | |
| ``` | |
| wav_path: Path to the audio file. | |
| ppt_path: Path to the first-frame image of the slide video. | |
| ocr_text: Text extracted by PaddleOCR. | |
| vl2_text: Text extracted by InternVL2. | |
| gt_text: Ground truth transcription of the audio. | |
| ocr_vl2_text: OCR text reprocessed by InternVL2 (not a concatenation of PaddleOCR and InternVL2 results). | |
| ``` | |
| ## 📥 Download | |
| You can download the dataset from the following sources: | |
| - [Download from OneDrive](https://1drv.ms/f/c/721006f535f6400c/EgxA9jX1BhAggHI-hgAAAAABgpJYJF-leYBGBdmjBuBQxw) | |
| - [Download from Huggingface](https://huggingface.co/datasets/BAAI/Chinese-LiPS) | |
| - [Download from Baidu Netdisk](https://pan.baidu.com/s/11nvn79-3Inf3QDyJomlLAA?pwd=vg2a) (Password: **vg2a**) | |
| ## 📚 Citation | |
| ```bibtex | |
| @misc{zhao2025chineselipschineseaudiovisualspeech, | |
| title={Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides}, | |
| author={Jinghua Zhao and Yuhang Jia and Shiyao Wang and Jiaming Zhou and Hui Wang and Yong Qin}, | |
| year={2025}, | |
| eprint={2504.15066}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.MM}, | |
| url={https://arxiv.org/abs/2504.15066} | |
| } |