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---
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/
β”œβ”€β”€ README.md
β”œβ”€β”€ models/          # Model checkpoints and configurations from S3
β”‚   β”œβ”€β”€ {sweep_id}_{run_id}/
β”‚   β”‚   β”œβ”€β”€ 0.pt                    # Initial checkpoint
β”‚   β”‚   β”œβ”€β”€ {final}.pt              # Final checkpoint
β”‚   β”‚   β”œβ”€β”€ run_config.yaml         # Training configuration
β”‚   β”‚   └── loss.csv                # Training loss data
β”‚   └── ...
└── analysis/        # Belief state regression analysis results
    β”œβ”€β”€ {sweep_id}_{run_id}/
    β”‚   β”œβ”€β”€ checkpoint_0.joblib              # Initial checkpoint analysis
    β”‚   β”œβ”€β”€ checkpoint_{final}.joblib        # Final checkpoint analysis
    β”‚   β”œβ”€β”€ ground_truth_data.joblib         # Neural network ground truth
    β”‚   β”œβ”€β”€ markov3_checkpoint_*.joblib      # Classical Markov comparisons
    β”‚   └── 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