| --- |
| license: mit |
| task_categories: |
| - other |
| language: |
| - en |
| tags: |
| - quantum |
| - neural-networks |
| - belief-states |
| - transformers |
| - rnn |
| size_categories: |
| - 1B<n<10B |
| --- |
| |
| # Epsilon-Transformers Belief Analysis Dataset |
|
|
| This dataset contains trained neural network models and their corresponding belief state regression analysis from the Epsilon-Transformers project. The models were trained on four different stochastic processes and analyzed for their ability to learn and represent belief states. |
| See https://github.com/adamimos/epsilon-transformers/tree/quantum-public for codebase which generated this data. |
|
|
| ## Dataset Structure |
|
|
| ``` |
| epsilon-transformers-belief-analysis/ |
| ├── README.md |
| ├── models/ # Model checkpoints and configurations from S3 |
| │ ├── {sweep_id}_{run_id}/ |
| │ │ ├── 0.pt # Initial checkpoint |
| │ │ ├── {final}.pt # Final checkpoint |
| │ │ ├── run_config.yaml # Training configuration |
| │ │ └── loss.csv # Training loss data |
| │ └── ... |
| └── analysis/ # Belief state regression analysis results |
| ├── {sweep_id}_{run_id}/ |
| │ ├── checkpoint_0.joblib # Initial checkpoint analysis |
| │ ├── checkpoint_{final}.joblib # Final checkpoint analysis |
| │ ├── ground_truth_data.joblib # Neural network ground truth |
| │ ├── markov3_checkpoint_*.joblib # Classical Markov comparisons |
| │ └── markov3_ground_truth_data.joblib # Classical ground truth |
| └── ... |
| ``` |
|
|
| ## Model Mappings |
|
|
| | Sweep ID | Run ID | Architecture | Process | Description | |
| |----------|--------|--------------|---------|-------------| |
| | 20241121152808 | 48 | LSTM | Moon Process | LSTM trained on Moon Process | |
| | 20241121152808 | 49 | LSTM | Bloch Walk | LSTM trained on Bloch Walk | |
| | 20241121152808 | 53 | LSTM | FRDN | LSTM trained on FRDN | |
| | 20241121152808 | 55 | LSTM | Mess3 | LSTM trained on Mess3 | |
| | 20241121152808 | 56 | GRU | Moon Process | GRU trained on Moon Process | |
| | 20241121152808 | 57 | GRU | Bloch Walk | GRU trained on Bloch Walk | |
| | 20241121152808 | 61 | GRU | FRDN | GRU trained on FRDN | |
| | 20241121152808 | 63 | GRU | Mess3 | GRU trained on Mess3 | |
| | 20241121152808 | 64 | RNN | Moon Process | RNN trained on Moon Process | |
| | 20241121152808 | 65 | RNN | Bloch Walk | RNN trained on Bloch Walk | |
| | 20241121152808 | 69 | RNN | FRDN | RNN trained on FRDN | |
| | 20241121152808 | 71 | RNN | Mess3 | RNN trained on Mess3 | |
| | 20241205175736 | 17 | Transformer | Bloch Walk | Transformer trained on Bloch Walk | |
| | 20241205175736 | 23 | Transformer | Mess3 | Transformer trained on Mess3 | |
| | 20250421221507 | 0 | Transformer | Moon Process | Transformer trained on Moon Process | |
| | 20250422023003 | 1 | Transformer | FRDN | Transformer trained on FRDN | |
|
|
| ## File Formats |
|
|
| ### Model Files (.pt) |
| Transformerlens (for transformers) or Pytorch (for RNNs) model checkpoints containing trained model weights and optimizer states. |
|
|
| ### Analysis Files (.joblib) |
| Joblib-serialized files containing: |
| - **checkpoint_*.joblib**: Regression analysis results mapping activations to belief states |
| - **ground_truth_data.joblib**: True belief states and probabilities for the neural network data |
| - **markov3_*.joblib**: Classical Markov model comparisons and baselines |
