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[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
[ { "content": "You are an expert verifier for a coding agent. Given the current trajectory, your job is to evaluate a single candidate next action and assess how suitable it is to execute next.\n\nPrioritize actions that are:\n1) Correct and directly advance the task.\n2) Safe (non-destructive, no data loss, no ...
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SWE-Verifier training data

Training data for the three trained models used in SWE-Verifier.

Models

Paper variant Hugging Face model
Score Only zkjzou/SWE-Verifier-Score-Only
Joint Rubric zkjzou/SWE-Verifier-Joint-Rubric
Two-Stage Rubric zkjzou/SWE-Verifier-Two-Stage-Rubric

Data

Configuration Rows Split
score_only 30,494 train
joint_rubric 30,403 train
two_stage_generator 30,403 train
two_stage_scorer 30,403 train
raw_teacher 6,669 request/response pairs corpus

Training rows contain messages, with the final assistant message as the target. The raw teacher pairs cover 33,343 candidate actions. They contain saved teacher inputs and output text; provider metadata is excluded, and detected sensitive patterns are redacted. The redacted field identifies affected rows.

from datasets import load_dataset

training = load_dataset("zkjzou/swe-verifier-training", "score_only", split="train")
raw = load_dataset("zkjzou/swe-verifier-training", "raw_teacher", split="corpus", streaming=True)

Decode input_json with json.loads to read a teacher input. teacher_raw_output contains its output text. Action identifiers link raw records to the training manifests.

The repository is private during release preparation; an authorized Hugging Face login is required.

License

Original annotations and packaging: Apache 2.0. Embedded upstream material retains its original licenses; notices are included in upstream_licenses/.

Paper · Code

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Paper for zkjzou/swe-verifier-training