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Download README.md from NIO-LLM/IntelliASR-Bench: direct link, hf CLI and curl.
- Browser
- Download file 705 Bytes
-
https://huggingface.co/datasets/NIO-LLM/IntelliASR-Bench/resolve/main/README.md
- Command line
-
hf download hf://datasets/NIO-LLM/IntelliASR-Bench/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/NIO-LLM/IntelliASR-Bench/resolve/main/README.md
705 Bytes
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: train_with_metadata_and_tts.jsonl | |
| # Training audio dataset | |
| 41,390 examples and 41,390 WAV audio files. | |
| Extract `audio.zip` beside `train_with_metadata_and_tts.jsonl`. The archive contains only audio files with no subdirectories. JSONL `wav` values are relative filenames. Other fields and audio bytes are unchanged. | |
| Only filesystem paths were anonymized; audio and transcripts were not redacted. | |
| ```bash | |
| unzip audio.zip | |
| ``` | |
| SHA-256: | |
| ``` | |
| e42261a45cccdfa2398791993f04511841970ef8705aec08d88c5f0dc663d054 audio.zip | |
| 6df7ee99cecc3109a4125ea1d6423ea17991c4c5d35d59b9b3c153be2c907f49 train_with_metadata_and_tts.jsonl | |
| ``` | |