| --- |
| pretty_name: QIMMA-oriented Arabic MCQ Dataset Preview |
| language: |
| - ar |
| license: other |
| task_categories: |
| - question-answering |
| tags: |
| - arabic |
| - multiple-choice |
| - reinforcement-learning |
| - synthetic |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: training_ready.jsonl |
| --- |
| |
| # QIMMA-oriented Arabic MCQ dataset v1.0 |
|
|
| This frozen release contains **477 training-ready Arabic multiple-choice
|
| questions**: 81 from the reviewed v2 pilot and 396 newly
|
| accepted questions generated with `openai/gpt-oss-120b`.
|
|
|
| ## Use
|
|
|
| Use `training_ready.jsonl` as the canonical merged training pool. Each record contains
|
| the question, four choices, answer, explanation, source attribution, difficulty,
|
| quality adjudication, and release origin. `batch_training_ready.jsonl` contains only
|
| the newly added 396 questions.
|
|
|
| ## Quality and isolation
|
|
|
| - 500 new candidates were generated.
|
| - 396 passed strict final adjudication.
|
| - 0 crossed the conservative QIMMA-overlap thresholds.
|
| - 0 were flagged as duplicates against the prior pool or batch.
|
| - QIMMA prompt text is not included in this release.
|
| - Answer positions were deterministically balanced after all filtering.
|
|
|
| The audit scanned 44,441 benchmark rows using normalized
|
| exact matching, fuzzy matching, and multilingual semantic similarity. See
|
| `release_manifest.json` for thresholds, distributions, model lineage, and costs.
|
|
|
| ## Files
|
|
|
| - `training_ready.jsonl`: canonical 477-item merged dataset.
|
| - `batch_training_ready.jsonl`: 396 newly accepted items.
|
| - `release_manifest.json`: release counts, distributions, audits, models, and cost.
|
| - `review_adjudicated.csv`: final decisions for all 500 new candidates.
|
| - `held_out_or_rejected.jsonl`: new candidates excluded by quality review.
|
| - `overlap_excluded.jsonl`: items excluded by overlap/duplicate audits, if any.
|
| - `contamination_*`: QIMMA similarity audit without benchmark prompt text.
|
| - `dataset_duplicate_*`: prior-pool and within-batch duplicate audit.
|
| - `pipeline/`: reproducible collection, generation, adjudication, and audit scripts.
|
|
|
| Reported OpenRouter cost for the new batch was `$1.2916`. Modal compute is
|
| not included. Source licensing is recorded per item; preserve attribution.
|
|
|
