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--- |
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language: |
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- en |
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license: apache-2.0 |
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size_categories: |
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- 1M<n<10M |
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task_categories: |
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- video-text-to-text |
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configs: |
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- config_name: Live-CC-5M for Dataset Viewer |
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data_files: |
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- split: preview_first_100 |
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path: live_cc_100_for_preview.json |
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- split: full_5m |
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path: live_cc_5m_with_seeks.jsonl |
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--- |
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# Dataset Card for Live-CC-5M |
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## Dataset Description |
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- **Curated by:** Joya Chen |
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- **Language(s) (NLP):** English |
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- **License:** Apache License 2.0 |
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## Uses |
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This dataset is used for [LiveCC-7B-Base](https://huggingface.co/chenjoya/LiveCC-7B-Instruct) model pre-training. We only allow the use of this dataset for academic research and educational purposes. For OpenAI GPT-4o generated user prompts, we recommend users check the [OpenAI Usage Policy](https://openai.com/policies/usage-policies/). |
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- **Project Page**: https://showlab.github.io/livecc |
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- **Paper**: https://huggingface.co/papers/2504.16030 |
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### Live-CC-5M Dataset |
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- Statistics: 5,047,208 YouTube Video-CC 30~240s samples. |
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- Annotation JSONL (YouTube CC): |
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Each line of the JSONL file is organized in a common user/assistant conversation format with a special "text_stream" key. Example: |
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``` |
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[ |
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{"role": "user", "content": [{"type": "video", "video": "video/youtube/-4dnPeRv1ns.mp4", "video_start": 16.8, "video_end": 158.8}, {"type": "text", "text": "", "previous": "", "title": "Airsoft G&G Combat Machine M4 Review"}]}, |
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{"role": "assistant", "content": [{"type": "text_stream", "text_stream": [[16.8, 16.9, "all"], [16.9, 17.0, "right"], [17.0, 17.1, "you"], [17.1, 17.3, "guys"], [17.3, 17.4, "so"], [17.4, 17.5, "this"], ...]}]} |
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] |
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``` |
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- "title" denotes the YouTube title. |
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- "previous" denotes previous ASR content before "video_start". |
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- Each item in "text_stream" indicates start timestamp, end timestamp, and the word. |
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During pre-training, we use "title" and "previous" as context. Please refer to our dataloader (https://github.com/showlab/livecc/data/lmm_dataset.py) to learn how to make it compatible with popular LMMs (e.g. QwenVL series). |
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The last line of JSONL contains the file handle seek indices: |
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``` |
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b'[0, 3149, 7796, 10436, 18949, 22917, 41985, 65721, 73045, 76797, 82262, ...]' |
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``` |
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This allows for easy streaming loading access using: |
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```python |
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import json |
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# read the last line of jsonl |
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def readlastline(path: str): |
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with open(path, "rb") as f: |
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f.seek(-2, 2) # avoid last |
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while f.read(1) != b"\n": |
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f.seek(-2, 1) |
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return f.readline() |
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# parse to seek indices list |
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seeks = json.loads(readlastline('live_cc_5m_with_seeks.jsonl')) |
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# during data loader |
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def __getitem(self, index): |
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... |
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with open('live_cc_5m_with_seeks.jsonl') as f: |
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f.seek(seeks[index]) |
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datum = json.loads(f.readline()) |
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... |
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``` |
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- Videos: Due to 5M videos are too large, we are sorry that we cannot find way to share them. But, |
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- You can find all YouTube IDs in the annotation JSONL |
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- We have released video files in SFT dataset https://huggingface.co/datasets/chenjoya/Live-WhisperX-526K |
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### Data Production Pipeline |
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Please read the paper Section3 for details. They have been fully open-sourced at: https://github.com/showlab/livecc/tree/main/data/production |
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## Citation |
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If you find our work helpful, feel free to give us a cite ;) |
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```bibtex |
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@article{livecc, |
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author = {Joya Chen and Ziyun Zeng and Yiqi Lin and Wei Li and Zejun Ma and Mike Zheng Shou}, |
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title = {LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale}, |
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journal = {arXiv preprint arXiv:2504.16030} |
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year = {2025}, |
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} |
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``` |
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## Contact |
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[Joya Chen](https://chenjoya.github.io/) |
