Fluid 2 is an English supervised-fine-tuning corpus for models that turn noisy automatic-speech-recognition output into the written insertion a user intended. It contains 354,549 rows in official document-grouped 96/2/2 splits, 861.3 hours of processed 16 kHz speech, and 8.48M target-side loss tokens in 355 Parquet shards (49.25 GiB).
This is not an ordinary transcription dataset. The model sees document context plus an ASR hypothesis and… See the full description on the dataset page:
https://huggingface.co/datasets/johnbean393/fluid-2-sft-asr.
