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PNS-World
Data for Learning Persistent Referential Identity for Multi-Step Memory in Event-Stream Models.
| Experiment | Data |
|---|---|
| E1 | data/e1_original/, data/e1_corrected_eval/ |
| E3 | data/e3_corrected/ |
| E8-FULL | e8_full/data/, e8_full/challenge/ |
E8-FULL includes 120,000 training lifetimes, 2,000 development and 2,000 confirmation
lifetimes, separate 256-query long-delay panels, and 2,000 identity-challenge lifetimes
per evaluation split. Split seeds and file hashes are in e8_full/DATA.json,
e8_full/CHALLENGE_DATA.json, and e8_full/MANIFEST.json.
pip install huggingface_hub numpy
hf download nur-dev/pns-world --repo-type dataset --revision paper-v2.0 --local-dir pns-data
Shards are NumPy .npz files. The matching loader, generator, tokenizer, model weights,
and reproduction commands are in
nur-dev/pns-bind-25m.
paper-v1.0 retains the original E1/E3 release.
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