SWE-bench/SWE-smith-trajectoriesSWE smith Trajectories Code • Paper • Site This dataset contains the 5017 trajectories we fine tuned Qwen 2.5 Coder Instruct on, leading to SWE agent LM 32B, a coding LM agent that achieve 40.2% on SWE bench Verified (no verifiers or multiple rollouts, just 1 attempt per instance). Trajectories were generated by running SWE agent + Claude 3.7 Sonnet on task instances from the SWE smith dataset.

SWE-smith-trajectories

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SWE-smith Trajectories Code • Paper • Site This dataset contains the 5017 trajectories we fine-tuned Qwen 2.5 Coder Instruct on, leading to SWE-agent-LM-32B, a coding LM agent that achieve 40.2% on SWE-bench Verified (no verifiers or multiple rollouts, just 1 attempt per instance). Trajectories were generated by running SWE-agent + Claude 3.7 Sonnet on task instances from the SWE-smith dataset.

Formats:md, parquetLibraries:Datasets, Dask, Polars, CroissantLicense:mit

ArXiv:2504.21798

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huggingface

task_categories:text-generation

language:en

license:mit

size_categories:10K<n<100K

format:parquet

modality:text

library:datasets

library:dask

library:mlcroissant

library:polars

region:us

code

agents

software-engineering

6.2Kdownloads71likes1.7 GBLicense:mit

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SWE-smith Trajectories

Code • Paper • Site

This dataset contains the 5017 trajectories we fine-tuned Qwen 2.5 Coder Instruct on, leading to SWE-agent-LM-32B, a coding LM agent that achieve 40.2% on SWE-bench Verified (no verifiers or multiple rollouts, just 1 attempt per instance).

Trajectories were generated by running SWE-agent + Claude 3.7 Sonnet on task instances from the SWE-smith dataset.

Formats

parquet

License

mit

Source

Mirrored from an external registry.

Last synced 7/29/2026

Paper for this model

arXiv:2504.21798

Paper2504.21798 0

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