Add CEMRC Romanian NER MRC datasets

README.md

@@ -25,9 +25,14 @@ Split files are stored as `parquet` files under one folder per source dataset.
 Each row contains:
 
 - `example_id`
+- `sentence_id`
+- `query_id`
 - `source_dataset`
 - `source_hf_dataset`
 - `split`
+- `query_style`
+- `query_sampling`
+- `negatives`
 - `context_tokens`
 - `context`
 - `question`
@@ -38,6 +43,28 @@ Each row contains:
 - `has_answer`
 - `n_answers`
 
+## Dataset Construction Method
+
+The builder converts token-classification BIO annotations into MRC-style question-answer examples.
+
+1. Load each selected source dataset from Hugging Face and process the available train, validation, and test splits.
+2. Map source schema to a shared representation: RoNEC and SiMoNERo provide `tokens` plus `ner_tags`; LegalNERo provides `words` plus `ner`.
+3. Recover BIO label names, remove `B-` and `I-` prefixes, and build the entity-type inventory for that source dataset.
+4. Select Romanian questions from the dataset-specific query maps in `src/data/mrc_queries.py` using the configured query style. Missing labels use generic fallback questions.
+5. Expand each BIO-tagged sentence into one query example per entity type. The original tokens are preserved as `context_tokens`, and `context` is the whitespace-joined token string.
+6. Extract positive answer spans from BIO tags and serialize them as answer text, character starts, and token-level word spans.
+7. Keep absent entity types as negative examples with empty answer arrays, `has_answer=false`, and `n_answers=0`.
+8. Optionally sample train-only negatives when `--negatives sampled` is used; validation and test always use fixed query selection and all negatives for deterministic evaluation.
+9. Use the configured seed for random query selection and train negative sampling, then write deterministic split files, row metadata, and `splits_info.json`.
+
+## Repository Layout and Metadata
+
+The generated repository stores one folder per source dataset: `ronec/`, `legalnero/`, and `simonero/`. Each folder contains one split file per available split, for example `train.parquet`, `validation.parquet`, and `test.parquet`.
+
+`splits_info.json` records the repository id, output format, query style, query sampling mode, negative-example mode, negative ratio, seed, per-source row counts, source Hugging Face dataset names, source URLs, and preserved source licenses.
+
+The dataset card keeps a repo-level `license: other` because this combined derivative preserves the original licenses of each included source dataset rather than relicensing them.
+
 ## Generation Settings
 
 - query style: `descriptive`

legalnero/test.parquet

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legalnero/train.parquet

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legalnero/validation.parquet

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simonero/test.parquet

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simonero/train.parquet

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simonero/validation.parquet

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