---
license: apache-2.0
tags:
- code
---

boolean networks, each sampled over 8192 timesteps, ranging from network size 32-1024, with connectivities (sizes of functions) per item taken from random gaussian mixture models

features:
```
network_size              # number of nodes in the network
connectivity_modes        # gaussians that connectivities are sampled from
connectivity_mu
connectivity_sigma
connectivity_mode_weights
initial_state
function_keys             # think left (input) side of truth table
function_values           # think right (output) side of truth table
function_inputs           # the node indices that go into this function
```

for a tiny subset with 128 networks, for example if testing a pipeline, try:

```python
from datasets import load_dataset

dataset = load_dataset(
  "parquet", data_files=[
    "https://huggingface.co/datasets/midwestern-simulation/boolean-networks/resolve/main/chunk_gUKO6HBS_128_8192_32-1024.parquet"
  ]
)