| --- |
| pretty_name: PraxisMem-Training |
| license: other |
| license_name: praxismem-training-data-terms |
| license_link: LICENSE |
| language: |
| - en |
| tags: |
| - memory |
| - reinforcement-learning |
| --- |
| |
| # PraxisMem-Training |
|
|
| Training data for PraxisMem's memory update and retrieval agents, including |
| VERL-compatible samples and canonical memory states. |
|
|
| ## Data |
|
|
| Download [verl.tar.gz](verl.tar.gz) and extract it into your data directory. |
|
|
| | Task | Samples | |
| |---|---:| |
| | Memory update | 481 | |
| | Memory retrieval | 1,440 | |
|
|
| Each sample has a unique `sample_id`. Multiple retrieval samples may share |
| the same trajectory, session, and checkpoint, with their own query and target. |
|
|
| ```text |
| verl/ |
| README.md |
| LICENSE |
| opsd/ |
| update.parquet |
| retrieval.parquet |
| samples.jsonl |
| canonical_states/ |
| manifest.json |
| update_sessions-0000{0,1,2}.jsonl |
| update_chunks-00000.jsonl |
| ``` |
|
|
| Canonical state shards contain 482 sessions and 3,375 ordered chunk deltas. |
| Use `verl/` as the dataset directory and `verl/canonical_states/` as |
| `canonical_states_root` in the companion training configuration. |
|
|
| For setup, sample loading, and training instructions, see the |
| [PraxisMem training documentation](https://github.com/QMMMS/PraxisMemBench/tree/main/docs/training). |
| The companion [PraxisMemBench dataset](https://huggingface.co/datasets/QMMMS/PraxisMemBench) |
| provides benchmark trajectories and conversation history. |
|
|
| ## License And Sources |
|
|
| See [LICENSE](LICENSE) for data sources and component-specific terms. |
|
|
|
|
