--- language: - bm - fr task_categories: - text-generation size_categories: - n<1K tags: - bambara - text-normalization - argilla --- # text-normalization-benchmark The raw [Argilla](https://github.com/argilla-io/argilla) 2.8.0 export of a Bambara (Bamanankan) text-normalization project: 160 records from four in-house corpora, each with the annotator's standard-orthography rewrite. 96 carry a submitted response; 64 were discarded. For a ready-to-score evaluation set, use `djelia/bm-text-normalization-benchmark`, the cleaned export of the 96 finished annotations. The repo is gated: request access on the Hub and run `hf auth login`. ## Load ```python from datasets import load_dataset ds = load_dataset("djelia/text-normalization-benchmark", split="train") # 160 rows gold = ds.filter(lambda r: r["normalized_text.responses.status"][0] == "submitted") pairs = [(r["source_text"], r["normalized_text.responses"][0]) for r in gold] # 96 ``` The `.argilla/` folder carries the schema, so the project reopens with `rg.Dataset.from_hub(...)`. ## Fields | Column | Description | | --- | --- | | `source_text` | The raw Bambara sentence to normalize | | `normalized_text.responses` | List with the annotator's normalized text | | `normalized_text.responses.status` | `submitted` (96) or `discarded` (64) | | `source` | In-house corpus: `bambara-asr-v2` 50, `Denube-final` 50, `transcription.txt` 40, `kunkado` 20 | | `status` | `completed` (96) or `pending` (64) | Plus `source_index`, record identifiers, timestamps, the annotator UUID, and `normalized_text.suggestion` — a UI pre-fill equal to `source_text` in every row. ## Notes Filter on the response status before treating anything as gold: a discarded response still carries a value, in 62 of the 64 cases a copy of `source_text`. 33 of the submitted targets end in a trailing newline that no `source_text` contains; strip it before any string-match metric. Some rows carry transcription markers such as ``.