| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| task_categories: |
| - automatic-speech-recognition |
| tags: |
| - asr |
| - disfluency |
| - inverse-text-normalization |
| - post-processing |
| - parakeet |
| - proofed |
| pretty_name: Proofed ASR Cleanup Training Data |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train/** |
| - split: test |
| path: data/test/** |
| --- |
| |
| # Proofed ASR Cleanup Training Data |
|
|
| Audio paired with **clean, proofed target text** for training an ASR model to do its own |
| post-processing: no fillers, repeats or false starts, numbers and money as digits, self-corrections |
| applied, asides to other people left out, paragraph breaks, whispered speech. Built for |
| [Proofed](https://github.com/danielrosehill/Proofed), a fine-tune of NVIDIA Parakeet TDT 0.6B v2 |
| that writes clean text in one pass with no LLM afterwards. |
|
|
| **Status (2026-10-24): first snapshot, small.** About 75 minutes, single speaker. The per-task |
| takes are still being recorded (targets: [recording-targets.md](https://github.com/danielrosehill/Proofed/blob/main/docs/recording-targets.md)); |
| this repo is rebuilt as they land. Task definitions: [taxonomy](https://github.com/danielrosehill/Proofed/blob/main/docs/taxonomy.md). |
|
|
| ## Contents |
|
|
| | Task | Train takes | Train min | Test takes | |
| |---|---|---|---| |
| | replay (plain English, against forgetting) | 344 | 34.3 | 19 | |
| | currency | 116 | 11.1 | 0 | |
| | disfluency (filled pauses) | 51 | 12.4 | 4 | |
| | numerics | 37 | 2.7 | 4 | |
| | repetitions | 18 | 3.6 | 1 | |
| | false-starts | 3 | 0.3 | 0 | |
| | paragraphs | 3 | 0.7 | 0 | |
| | whispered | 3 | 0.4 | 1 | |
| | asides | 2 | 0.3 | 0 | |
|
|
| Self-corrections have no takes yet. |
|
|
| ## Columns |
|
|
| - `audio` (from `file_name`): 16 kHz mono WAV, recorded on an Android phone. |
| - `text`: **the clean training target** (what Proofed should write). |
| - `verbatim_text` / `spoken_text`: what was actually said, where it differs (disfluent, repeated, |
| self-corrected takes); `aside_text`, `aside_position`: the aside that must be dropped; |
| `paragraph_text`: the target with paragraph breaks. |
| - `task`, `tasks`, `categories`: task labels (ids as in the taxonomy). |
| - `duration_s`, `device`, `microphone`, `environment`, `sample_rate`, `recorded_at`, `mode`, |
| `prompt_id`, `prompt_source`, `prompt_kind`. |
| - `source_dataset`, `source_revision`: provenance of each row. |
|
|
| ## Sources |
|
|
| Built from [`danielrosehill/Read-Aloud-Voice-Sentences`](https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences) |
| @ `c544f891` and the task subsets `Hebrish/Disfluent-Read-Sentences`, `Hebrish/Repeated-Word-Sentences`, |
| `Hebrish/Currency-Sentences`, `Hebrish/Spoken-Aside-Sentences`, `Hebrish/Self-Correction-Sentences` |
| (revisions in `build_summary.json`). Train/test splits follow the source datasets. Code-switching, |
| tech and other domain-vocabulary takes are excluded by design. Read, acted speech: disfluencies |
| were performed from prompts, not spontaneous. |
|
|
| Licence: CC-BY-4.0. Non-commercial research project; public corpora used later in training |
| (DisfluencySpeech, AMI, ICSI, LibriSpeech-PC) are not redistributed here. |
|
|
