Behavior cloning SWE traces
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0 | tab | from typing import Dict, Any\n\nimport optax\nimport jax\nimport jax.numpy as jnp\nimport flax.linen as nn\nfrom jax import NamedSharding\nfrom flax.training.train_state import TrainState\nfrom flax.training import orbax_utils\nfrom orbax.checkpoint import PyTreeCheckpointer\n\nfrom models.dynamics import DynamicsMaskG... |
1 | tab | 9:39:16 AM [info] Activating crowd-code\n9:39:16 AM [info] Recording started\n |
2 | terminal_command | /usr/bin/python3 [USER_PATH]/.vscode/extensions/ms-python.python-2025.6.1-darwin-arm64/python_files/printEnvVariablesToFile.py [USER_PATH]/.vscode/extensions/ms-python.python-2025.6.1-darwin-arm64/python_files/deactivate/zsh/envVars.txt |
3 | terminal_output | ]633;C[1m[7m%[27m[1m[0m \r \r |
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6 | tab | *.pyc\n*.npy\n*.png\n*.gif\n\nwandb_key\ncheckpoints/\nwandb/\n__pycache__/\n |
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46 | tab | from dataclasses import dataclass\nimport os\nimport time\n\nimport einops\nfrom flax.training import orbax_utils\nfrom flax.training.train_state import TrainState\nfrom jax.sharding import Mesh, PartitionSpec, NamedSharding\nfrom jax.experimental.mesh_utils import create_device_mesh\nimport optax\nimport orbax\nfrom o... |
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Install crowd-code 2.0 to help crowd-source the next-generation coding dataset.
crowd-code-dataset-1.0 is an anonymized dataset of fine-grained IDE interactions crowd-sourced across 25 people over the last 6 months using crowd-code 1.0, a VS Code/Cursor extension capturing large parts of the software engineering workflow. The dataset captures real research engineering workflows (character-level edits, navigation, terminal use, iterative debugging).