| 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 | | |
| ```bash | |
| 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. | |