Datasets:
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metadata
license: apache-2.0
language:
- ar
- en
task_categories:
- text-generation
tags:
- code
- arabic
- python
- verifiable-rewards
- grpo
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data/train.jsonl
- split: test
path: data/test.jsonl
Arabic Code Packet A11 (verifiable)
Arabic-instruction Python tasks where every answer is machine-checkable. Built by ABUZ8 LLC for the SUPERBRAIN-1 Arabic brain (https://huggingface.co/abuz8studios/SUPERBRAIN-1).
- 6,021 train / 1,026 test, 27 deterministic template generators, seed 11.
- No LLM-generated content: every prompt, reference solution and test comes from code in
tools/build_packet_a11.py.
| Kind | Train | Test | How it is graded |
|---|---|---|---|
| predict-the-output | 2,230 | 380 | exact match with the snippet's real stdout (executed in a subprocess at build time) |
| write-a-function | 2,453 | 418 | 5-8 hidden unit tests |
| fix-the-bug | 669 | 114 | hidden tests; buggy version verified to fail |
| complete-the-function | 669 | 114 | hidden tests |
Verification (tools/check_a11.py, exit 0)
[counts] train=6021 exam=1026 generators train=27 exam=27 missing_fields=0 dup_prompts=0 -> OK
[reference] sample=400 pass=400/400 (100.00%) | fix_bug buggy versions passing=0/67 -> OK
[predict] sample=200 re-executed_match=200/200 -> OK
[negative] other-item completions scored correct: 0/100 -> OK
[leakage] train_vs_exam exact 0, norm 0, qnorm 0, qhash 0, code 0 -> LEAKAGE=0
Test items use a phrasing template never seen in train and parameter combinations disjoint from train.
Fields
task, src, kind, topic, template, prompt, completion, answer, qhash, lang; predict items add code; code items add entry, reference, tests, test_code (fix-the-bug also buggy).
Scoring
python tools/a11_score.py ITEMS.jsonl PREDS.jsonl - runs model code against hidden tests in a subprocess with a 5 s timeout (process isolation, not a security sandbox).
Model scores
None yet. Baselines for SUPERBRAIN-1 will be added here once measured.