metadata
license: cc-by-4.0
task_categories:
- question-answering
tags:
- persistent-memory
- event-stream
- synthetic
PNS-WORLD
Data for Learning Persistent Referential Identity for Two-Hop Retrieval in Event-Stream Models.
| Experiment | Assets |
|---|---|
| E1 / E3 | data/, manifests/, audit/ |
| E8-FULL | e8_full/ ordinary and 512-write challenge evaluation shards, training samples, split manifests |
| Reviewer-requested tests | rr2/original/, rr2/compose/ evaluation shards, complete training manifests, disjoint-name registration and hashes |
pip install huggingface_hub
hf download nur-dev/pns-world --repo-type dataset --revision paper-v2.1 --local-dir pns-data
hf download nur-dev/pns-bind-25m --revision paper-v2.1 --local-dir pns-model
cd pns-model
pip install -r e8_full/requirements.txt
python rr2/reproduce.py verify --data ../pns-data/rr2
python rr2/reproduce.py prepare-training --data ../pns-data/rr2 --output rr2_train --workers 24
rr2/REGISTRATION.json lists the 66-name inventories and tokenization checks.
Full training corpora are regenerated from the deterministic released generator.
Evaluation commands are in the model repository. paper-v1.0 and paper-v2.0
retain the original releases.