Datasets:
Modalities:
Text
Formats:
json
Size:
100K - 1M
Tags:
persian
model-behavior
instruction-following
intent-understanding
constraint-following
safe-response-evaluation
License:
Upload 3 files
Browse files- CITATION.cff +10 -0
- LICENSE +9 -0
- SHA256SUMS.json +19 -0
CITATION.cff
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cff-version: 1.2.0
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title: "JumpLander-PMB-100K: Persian Model Behavior Dataset for Intent, Constraint, and Safe Response Evaluation"
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message: "If you use this dataset, please cite it using the metadata from this file."
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type: dataset
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authors:
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- name: JumpLander Team
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year: 2026
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license: CC-BY-4.0
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url: "https://huggingface.co/datasets/jumplander/JumpLander-PMB-100K"
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repository-code: "https://huggingface.co/datasets/jumplander/JumpLander-PMB-100K"
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LICENSE
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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Copyright (c) 2026 JumpLander
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You are free to share and adapt this dataset for any purpose, even commercially, under the following terms:
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Attribution — You must give appropriate credit to JumpLander, provide a link to the license, and indicate if changes were made.
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Full license: https://creativecommons.org/licenses/by/4.0/
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SHA256SUMS.json
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{
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"CITATION.cff": "9baa8c718fbd99b1881ba101f9f8c0409c993c302723fd2bcef02c4ea8708aaf",
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"LICENSE": "32edd6a939e65f256678f220eefbcf9abea549cc76537b3d8bc5189c6b3b8952",
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"README.md": "7716e7ba44c5cff07211dffc2fe23326971a10c002425cb814187391b664f0d5",
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"data/dataset_metadata.json": "75e971ba800aa917949ade93f86548fce86bcb507f3ee0c0e7b07085e85d6af3",
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"data/dataset_statistics.json": "2a62b07fcc1eaf2c31f4658e310899aa19460273c68f053e8b1487b3ee35b99d",
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"data/jumplander_pmb_100k.json": "e2e309c88e39149fbe92019a4c4f9dd243d1396e9208c84c0c0f2dd030738fb3",
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"data/mini_preview_20.jsonl": "15312d84b0b6077559aa7defa866d8e2d07133f117cfe34c021c5ed715a138b1",
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"data/test.jsonl": "01922853af1ed02a32554fe35b728a5127f390177979a23e190f5b7540789c1a",
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"data/train.jsonl": "63fcceecdcce654bc189107027f53b8a1ac938bef10727236b6a833bb1bd445e",
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"data/validation.jsonl": "ce7144498a441593880bb40bfc21d4fb41f0b7c0b4bd414bf9202cbf23904b74",
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"docs/annotation_guidelines.md": "e855ea591772a299773a40ec14cd3e78aa62bf01f66c9b5e8040bc5fc263aac9",
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"docs/quality_checklist.md": "61c0a4bd126ea1b3cfe1eebec48cd2a5965dfd48b9d46015a8d6046ffd05bab2",
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"docs/release_notes.md": "752b4adfc9928673ef0597b48cd620d0dd973b2c143058d68c615b9acdedceb5",
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"examples/example_record.json": "38b9c6655836e8d93cc510a33cb1734881778e813ab71b05da0dbb0c593866dc",
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"schema/schema.json": "d172cbbac4ab70559658bf873cec79f1106a83dfc388fb9091cf28e4d817c30d",
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"schema/taxonomy.json": "7310b188477d39dd6a2721e0a0b9971676f961db7a317d4f315b864683096074",
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"tools/validate_jsonl.py": "7f3c02c1093d36d65cb8e210e12e5eb588d9e950fb39117c5b645842b8ea5412"
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}
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