Dataset Viewer
Auto-converted to Parquet Duplicate
id
stringlengths
13
54
prompt
stringlengths
708
2.91M
answer
stringlengths
110
352k
prompt_input_token_count
int64
206
1.14M
metadata
dict
conda__conda-620
You are given a GitHub issue and the relevant repository files before and after the fix. Your task is to synthesize the unified git diff that transforms the before files into the after files. Repository: conda/conda Base commit: c453be49e865297bf12858548a6b3e7891a8cb43 Changed files: - conda/resolve.py ## Problem st...
diff --git a/conda/resolve.py b/conda/resolve.py index 0000000..0000000 100644 --- a/conda/resolve.py +++ b/conda/resolve.py @@ -30,6 +30,11 @@ def normalized_version(version): return version +class NoPackagesFound(RuntimeError): + def __init__(self, msg, pkg): + super(NoPackagesFound, self).__in...
15,679
{ "dataset": "internlm/SWE-Fixer-Train-110K-diff", "source_dataset": "internlm/SWE-Fixer-Train-110K", "task": "before_after_to_diff", "instance_id": "conda__conda-620", "repo": "conda/conda", "base_commit": "c453be49e865297bf12858548a6b3e7891a8cb43", "pull_number": 620, "issue_numbers": [ "599" ],...
conda__conda-662
You are given a GitHub issue and the relevant repository files before and after the fix. Your task is to synthesize the unified git diff that transforms the before files into the after files. Repository: conda/conda Base commit: 3d4118668fca738984cce13d9235e0fc11a79df4 Changed files: - conda/cli/main_remove.py - cond...
diff --git a/conda/cli/main_remove.py b/conda/cli/main_remove.py index 0000000..0000000 100644 --- a/conda/cli/main_remove.py +++ b/conda/cli/main_remove.py @@ -63,6 +63,7 @@ def execute(args, parser): from conda.api import get_index from conda.cli import pscheck from conda.install import rm_rf, linked +...
15,077
{ "dataset": "internlm/SWE-Fixer-Train-110K-diff", "source_dataset": "internlm/SWE-Fixer-Train-110K", "task": "before_after_to_diff", "instance_id": "conda__conda-662", "repo": "conda/conda", "base_commit": "3d4118668fca738984cce13d9235e0fc11a79df4", "pull_number": 662, "issue_numbers": [ "464" ],...
conda__conda-667
You are given a GitHub issue and the relevant repository files before and after the fix. Your task is to synthesize the unified git diff that transforms the before files into the after files. Repository: conda/conda Base commit: f2934aea3f32ac94907b742a800d82c1e08757fe Changed files: - conda/resolve.py ## Problem st...
diff --git a/conda/resolve.py b/conda/resolve.py index 0000000..0000000 100644 --- a/conda/resolve.py +++ b/conda/resolve.py @@ -278,12 +278,25 @@ def all_deps(self, root_fn, max_only=False): def add_dependents(fn1, max_only=False): for ms in self.ms_depends(fn1): + found = False ...
16,103
{ "dataset": "internlm/SWE-Fixer-Train-110K-diff", "source_dataset": "internlm/SWE-Fixer-Train-110K", "task": "before_after_to_diff", "instance_id": "conda__conda-667", "repo": "conda/conda", "base_commit": "f2934aea3f32ac94907b742a800d82c1e08757fe", "pull_number": 667, "issue_numbers": [ "666" ],...
conda__conda-682
"You are given a GitHub issue and the relevant repository files before and after the fix.\n\nYour ta(...TRUNCATED)
"diff --git a/conda/connection.py b/conda/connection.py\nindex 0000000..0000000 100644\n--- a/conda/(...TRUNCATED)
13,564
{"dataset":"internlm/SWE-Fixer-Train-110K-diff","source_dataset":"internlm/SWE-Fixer-Train-110K","ta(...TRUNCATED)
conda__conda-707
"You are given a GitHub issue and the relevant repository files before and after the fix.\n\nYour ta(...TRUNCATED)
"diff --git a/conda/lock.py b/conda/lock.py\nindex 0000000..0000000 100644\n--- a/conda/lock.py\n+++(...TRUNCATED)
1,617
{"dataset":"internlm/SWE-Fixer-Train-110K-diff","source_dataset":"internlm/SWE-Fixer-Train-110K","ta(...TRUNCATED)
conda__conda-739
"You are given a GitHub issue and the relevant repository files before and after the fix.\n\nYour ta(...TRUNCATED)
"diff --git a/conda/config.py b/conda/config.py\nindex 0000000..0000000 100644\n--- a/conda/config.p(...TRUNCATED)
22,902
{"dataset":"internlm/SWE-Fixer-Train-110K-diff","source_dataset":"internlm/SWE-Fixer-Train-110K","ta(...TRUNCATED)
conda__conda-804
"You are given a GitHub issue and the relevant repository files before and after the fix.\n\nYour ta(...TRUNCATED)
"diff --git a/conda/cli/install.py b/conda/cli/install.py\nindex 0000000..0000000 100644\n--- a/cond(...TRUNCATED)
7,254
{"dataset":"internlm/SWE-Fixer-Train-110K-diff","source_dataset":"internlm/SWE-Fixer-Train-110K","ta(...TRUNCATED)
conda__conda-834
"You are given a GitHub issue and the relevant repository files before and after the fix.\n\nYour ta(...TRUNCATED)
"diff --git a/conda/cli/main_run.py b/conda/cli/main_run.py\nindex 0000000..0000000 100644\n--- a/co(...TRUNCATED)
9,699
{"dataset":"internlm/SWE-Fixer-Train-110K-diff","source_dataset":"internlm/SWE-Fixer-Train-110K","ta(...TRUNCATED)
conda__conda-909
"You are given a GitHub issue and the relevant repository files before and after the fix.\n\nYour ta(...TRUNCATED)
"diff --git a/conda/install.py b/conda/install.py\nindex 0000000..0000000 100644\n--- a/conda/instal(...TRUNCATED)
16,446
{"dataset":"internlm/SWE-Fixer-Train-110K-diff","source_dataset":"internlm/SWE-Fixer-Train-110K","ta(...TRUNCATED)
conda__conda-1138
"You are given a GitHub issue and the relevant repository files before and after the fix.\n\nYour ta(...TRUNCATED)
"diff --git a/conda/cli/install.py b/conda/cli/install.py\nindex 0000000..0000000 100644\n--- a/cond(...TRUNCATED)
11,006
{"dataset":"internlm/SWE-Fixer-Train-110K-diff","source_dataset":"internlm/SWE-Fixer-Train-110K","ta(...TRUNCATED)
End of preview. Expand in Data Studio

SWE-Fixer Diff Train Full, Repo-Disjoint Qwen3 Splits

This dataset is derived from .cache/glotcond/materialized/swe_fixer_diff_train_full.jsonl. It adds prompt_input_token_count, computed with Qwen/Qwen3-4B-Base using add_special_tokens=False.

The split is repo-disjoint by metadata.repo and targets train/dev/test ratios of 0.7/0.1/0.2 while balancing the prompt token-count distribution.

Column order: id, prompt, answer, prompt_input_token_count, metadata.

split rows row ratio repos token mean median p90 p95 max
train 33387 0.7000 240 31968.8 15708.0 76027.0 113771.6 1135223
dev 4778 0.1002 33 31899.0 15805.5 79846.3 129640.6 450936
test 9534 0.1999 70 32040.3 15861.0 76438.9 112687.2 483488

metadata/split_summary.json contains the full split diagnostics.

Downloads last month
17