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prism-training-dataset / source_inventory.json
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PRISM training dataset: source records + validity mask
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{
"dataset": "prism-training-dataset",
"records": 277496,
"files": {
"if_eval.jsonl": {
"sha256": "8ff20c399072433afa04b13c82358f5f3eff3f784a0215b048233bdcd54417e1",
"records": 492
},
"if_multi_constraints.jsonl": {
"sha256": "d24ed6fa26852174d79d96d1cf968c8f4e2a0b0c47eef04d59f4061c48669a9f",
"records": 77002
},
"ultrachat.jsonl": {
"sha256": "f74eef7afb15504996aaad073fb800dd36e1293f1b952e14009f8ef7a1e40248",
"records": 200002
},
"valid_record_ids.json": {
"sha256": "66202284fffb28e2e51401ddbb4230da916dfda6033c677645de0fa78703314a",
"ids": 203589
}
},
"generation": {
"target_model": "Qwen/Qwen3.5-9B (apache-2.0); response = its reply to prompt (max 2048 tokens, temperature sampling); instruction_set = its instruction listing for prompt (max 512 tokens)",
"filter": "rules + LLM-judge mask (valid_record_ids.json, 203589 ids); split seed 42, group-aware, 0.8/0.1/0.1"
},
"sources": [
{
"name": "IFEval",
"hf_id": "google/IFEval",
"revision": "966cd89545d6",
"license": "apache-2.0",
"included_fields": "prompts (verbatim and paraphrased)",
"transformations": "prompt selection; paraphrasing by the target model",
"redistribution": "permitted with attribution (Apache-2.0)"
},
{
"name": "IF_multi_constraints_upto5",
"hf_id": "allenai/IF_multi_constraints_upto5",
"revision": "2e3a77407b7f",
"license": "odc-by",
"included_fields": "prompts (verbatim and paraphrased)",
"transformations": "prompt selection; paraphrasing by the target model",
"redistribution": "permitted with attribution (ODC-BY 1.0; attribute AllenAI)"
},
{
"name": "ultrachat_200k",
"hf_id": "HuggingFaceH4/ultrachat_200k",
"revision": "8049631c405a",
"license": "mit",
"included_fields": "first-turn prompts (verbatim and paraphrased)",
"transformations": "prompt selection; paraphrasing by the target model",
"redistribution": "permitted with attribution (MIT)"
}
]
}