ncp
cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp5-q4v3-iid16cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp5-q4v3-groot16cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp10-q4v3-groot16cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp5-q4v2-vs16cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp10-q4v3-iid16cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp10-base-q4v3cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp10-bgroot16cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp10-bgroot8
Datasets
All datasets matching “ncp”ncp-q4-v2-cohort
Frozen NCP repaired-v2 cohort
Public campaign handoff; not a new dataset rebuild. Pin an immutable revision.
Packed shards in cohorts/ unpack using ncp_eval.unpack_cohort.
Test: 1,457 sections; SHA256 520e9736ace196e03166535e13aebeeaa1ec2931b8c0027601e16d6bca2bc37d.
See EXPORT_MANIFEST.json for file hashes and each split MANIFEST for shard hashes.
The older populate_evidence_led_train200 driver is NOT the production protocol.
ncp-artifacts-v1
NCP artifacts (v1)
datasets/ and rl/rl_prompts/ have had their prompt / prompt_full fields removed. Those
fields embedded the story-so-far, character sheets and chapter text for each section - verbatim
novel prose - which is not something to publish in a public repo, and it was 97% of the bytes.
Everything needed to rebuild them is here or already on the destination cluster:
every row keeps problem_id / question_id, which are exactly the ids ncp_eval.data.example_id()
emits… See the full description on the dataset page: https://huggingface.co/datasets/agurung/ncp-artifacts-v1.isambard-ncp-returnsnucleosome-condensability-ncp-chr1NC_Physics
NC_Physics
NC_Physics is the dataset released with LECTOR: Joint Optimization of Scientific Reasoning Graphs and Introduction Generation.
The dataset supports Content-Conditional Introduction Generation (CCIG): models use the non-introduction content of scientific papers, paper metadata, and references to reason about the paper's core idea and generate a logic-aware introduction.
Paper: https://arxiv.org/abs/2605.25964
Code: https://github.com/Xiao-Youth/LECTOR
Associated… See the full description on the dataset page: https://huggingface.co/datasets/Xiao-Youth/NC_Physics.softsign-ncp-repro