SWE-agent-trajectories

Author: hf-mirror · License: cc-by-4.0 · Format: parquet

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The dataset collection consisted of two stages: collecting issue-resolution instances, following a methodology similar to SWE-bench, and generating a large number of trajectories for solving the collected issues. The generated code patches in these trajectories were evaluated by the tests from the linked pull requests to determine which of them passed the tests. The detailed process of collecting issue-resolution instances is described in our blog post ["Scaling Data Collection for Training Software Engineering Agents"](https://nebius.com/blog/posts/scaling-data-collection-for-training-swe-agents).

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Files

data/train-00000-of-00012.parquet (89,182,938)
data/train-00001-of-00012.parquet (94,796,688)
data/train-00002-of-00012.parquet (91,137,587)
data/train-00003-of-00012.parquet (96,591,990)
data/train-00004-of-00012.parquet (92,560,283)
data/train-00005-of-00012.parquet (99,091,960)
data/train-00006-of-00012.parquet (85,410,328)
data/train-00007-of-00012.parquet (94,992,382)
data/train-00008-of-00012.parquet (93,467,561)
data/train-00009-of-00012.parquet (93,395,224)
data/train-00010-of-00012.parquet (88,668,958)
data/train-00011-of-00012.parquet (95,071,802)

Added 2026-09-27. Platform: Distillio — the open source training data collective.