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metadata
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.