| --- |
| license: apache-2.0 |
| pretty_name: BudgieScribe held-out evaluation sets |
| language: |
| - fr |
| - en |
| task_categories: |
| - text2text-generation |
| tags: |
| - asr |
| - speech-to-text |
| - text-normalization |
| - inverse-text-normalization |
| - dictation |
| - evaluation |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: fr |
| data_files: "fr/*.jsonl" |
| - config_name: en |
| data_files: "en/*.jsonl" |
| --- |
| |
| # BudgieScribe held-out evaluation sets |
|
|
| The synthetic held-out sets every [BudgieScribe](https://huggingface.co/flowcorp-ch/BudgieScribe-Nano) |
| build is scored on. Deterministic generators |
| ([github.com/alexxxcoelho/budgie-scribe](https://github.com/alexxxcoelho/budgie-scribe), |
| `scribe/generateurs/gen_*.py`, fixed seeds) start from the **value**, so the |
| expected output is known to the character and scoring is exact string |
| comparison — no judge. Each generator writes 8 % of what it produces into a |
| held-out slice, by family, never seen in training. These files are that slice. |
|
|
| | Language | File | Axis | Cases | |
| |---|---|---|---:| |
| | fr | `fr/heldout_forme.jsonl` | Formatting blocks (lists, emails, addresses) | 635 | |
| | fr | `fr/heldout_correction.jsonl` | Speaker self-corrections | 476 | |
| | fr | `fr/heldout_itn.jsonl` | Inverse text normalization (numbers, amounts, dates, times, phones) | 797 | |
| | fr | `fr/heldout_compo.jsonl` | Composition: 2–3 adjacent numbers in one sentence | 319 | |
| | fr | `fr/heldout_cor_itn.jsonl` | Self-correction × number in one sentence | 238 | |
| | en | `en/heldout_forme.jsonl` | Formatting blocks | 634 | |
| | en | `en/heldout_correction.jsonl` | Speaker self-corrections | 474 | |
| | en | `en/heldout_itn.jsonl` | Inverse text normalization | 798 | |
| | en | `en/heldout_compo.jsonl` | Composition | 319 | |
| | en | `en/heldout_cor_itn.jsonl` | Self-correction × number | 237 | |
|
|
| ## Row format |
|
|
| One JSON object per line: |
|
|
| ```json |
| {"id": "itn-00005", "file": "itn-telephone", "source": "itn", "lang": "fr", |
| "held_out": true, |
| "styling": "semi-formal", "structure": "prose", "context": "general", |
| "control": "[Styling: semi-formal] [Structure: prose] [Context: general] [Lang: fr]", |
| "dirty": "tu peux m'appeler au zéro six douze trente-quatre cinquante-six soixante-dix-huit", |
| "clean": "Tu peux m'appeler au 06 12 34 56 78."} |
| ``` |
|
|
| `dirty` is what an ASR engine produces; `clean` is the expected output; |
| `control` is the line the model receives above the transcript (see |
| [FORMAT.md](https://github.com/alexxxcoelho/budgie-scribe/blob/main/FORMAT.md)). |
| `file` carries the family (`itn-telephone`, `frm-liste`, …) the benches |
| report by. |
|
|
| ## Scoring a build |
|
|
| ```bash |
| hf download flowcorp-ch/BudgieScribe-eval --repo-type dataset --local-dir eval |
| export SCRIBE_LANG=fr SCRIBE_TRAVAIL=$PWD/eval |
| python scribe/bancs/eval_synth.py <checkpoint-dir | base | base:mini> eval/fr/heldout_forme.jsonl |
| ``` |
|
|
| or, on Hugging Face Jobs, `hf/jobs/eval.py --model <repo> --lang fr` from the |
| code repository, which runs every file of the language. Reported per axis: |
| exact matches, and for numbers **wrong value** separately from wrong |
| formatting. |
|
|
| ## Personal data |
|
|
| Nothing here comes from a recording or a person. Every string is generated |
| from templates and random values. Before publication the sets were passed |
| through the project's PII scanner (`scribe/pipeline/pii_scan.py`); the e-mail |
| domains the generators use (`gmail.com`, `outlook.fr`, `free.fr`, …) were |
| replaced on both sides of each pair by RFC 2606 reserved domains |
| (`example.com`, `example.org`, `example.net`) so that no plausible real |
| address is distributed. Phone numbers are random digit strings in the |
| national formats; any match with a real number is coincidental. The |
| published model tables were measured on the sets before the domain swap; |
| the swap changes the spoken domain only, and a re-run is expected to differ |
| by at most a few cases on the e-mail families. |
|
|
| ## License |
|
|
| Apache 2.0, like the generators that produce them. |
|
|
