instance_id stringlengths 34 72 | patch stringlengths 238 25.3k | FAIL_TO_PASS listlengths 5 14.7k | PASS_TO_PASS listlengths 0 15.6k | image_name stringclasses 2
values | repo stringclasses 6
values | problem_statement stringlengths 1.44k 282M |
|---|---|---|---|---|---|---|
microsoft__tolerant-php-parser-382 | "diff --git a/.travis.yml b/.travis.yml\nindex 9088987..fb43613 100644\n--- a/.travis.yml\n+++ b/.tr(...TRUNCATED) | ["None > Token length sum with data set \"testfile.php\" [1.18 ms]","None > Get token full text leng(...TRUNCATED) | ["None > Token length sum with data set \"commentsFile.php\" [0.02 ms]","None > Token start geq full(...TRUNCATED) | prime/primeintellect/microsoft-tolerant-php-parser:382-a60544e | microsoft/tolerant-php-parser | "Support `__halt_compiler` as a member of the top level statements\nThis would allow validation test(...TRUNCATED) |
getmoto_moto-339309c9af4188006d9592469d52193f57249b1e-5b8d042f | "--- a/moto/s3/models.py\n+++ b/moto/s3/models.py\n@@ -554,31 +554,42 @@ class FakeAcl(BaseModel):\n(...TRUNCATED) | ["tests/test_s3/test_s3_acl.py::test_put_object_acl_using_grant[Write-False-AllUsers-type_key0]","te(...TRUNCATED) | ["tests/test_iam/test_server.py::test_iam_server_get","tests/test_sagemaker/test_sagemaker_endpoint.(...TRUNCATED) | getmoto/moto | "==================================== ERRORS ====================================\n_ ERROR at setup (...TRUNCATED) | |
getmoto_moto-339309c9af4188006d9592469d52193f57249b1e-f3aa0246 | "--- a/moto/ec2/models/instances.py\n+++ b/moto/ec2/models/instances.py\n@@ -68,108 +68,48 @@ class (...TRUNCATED) | ["tests/test_autoscaling/test_autoscaling.py::test_terminate_instance_via_ec2_in_autoscaling_group",(...TRUNCATED) | ["tests/test_batch/test_batch_jobs.py::test_cancel_pending_job","tests/test_batch_simple/test_batch_(...TRUNCATED) | getmoto/moto | "=================================== FAILURES ===================================\n_________________(...TRUNCATED) | |
getmoto_moto-6843eb4c86ee0abad140d02930af95050120a0ef-b59f7e42 | "--- a/moto/s3/models.py\n+++ b/moto/s3/models.py\n@@ -185,9 +185,14 @@ class FakeKey(BaseModel, Man(...TRUNCATED) | ["tests/test_s3/test_s3_multipart.py::test_multipart_list_parts","tests/test_cloudformation/test_clo(...TRUNCATED) | ["tests/test_iam/test_server.py::test_iam_server_get","tests/test_s3bucket_path/test_server.py::test(...TRUNCATED) | getmoto/moto | "==================================== ERRORS ====================================\n______ ERROR at s(...TRUNCATED) | |
getmoto_moto-6843eb4c86ee0abad140d02930af95050120a0ef-3e5d5b7e | "--- a/moto/s3/responses.py\n+++ b/moto/s3/responses.py\n@@ -808,191 +808,83 @@ class S3Response(Bas(...TRUNCATED) | ["tests/test_s3/test_s3_acl.py::test_put_object_acl_using_grant[Write-False-AllUsers-type_key0]","te(...TRUNCATED) | [] | getmoto/moto | "==================================== ERRORS ====================================\n____ ERROR at set(...TRUNCATED) | |
getmoto_moto-6505971ecb0dda833b9828ba71522f2805655674-50672a09 | "--- a/moto/ec2/responses/subnets.py\n+++ b/moto/ec2/responses/subnets.py\n@@ -8,23 +8,16 @@ class S(...TRUNCATED) | ["tests/test_autoscaling/test_autoscaling.py::test_terminate_instance_via_ec2_in_autoscaling_group",(...TRUNCATED) | [] | getmoto/moto | "=================================== FAILURES ===================================\n_________________(...TRUNCATED) | |
getmoto_moto-6505971ecb0dda833b9828ba71522f2805655674-3aaa5553 | "--- a/moto/dynamodb/parsing/expressions.py\n+++ b/moto/dynamodb/parsing/expressions.py\n@@ -134,8 +(...TRUNCATED) | ["tests/test_dynamodb/test_dynamodb.py::test_update_nested_item_if_original_value_is_none","tests/te(...TRUNCATED) | [] | getmoto/moto | "=================================== FAILURES ===================================\n_________________(...TRUNCATED) | |
getmoto_moto-6505971ecb0dda833b9828ba71522f2805655674-84e3b65f | "--- a/moto/ecs/models.py\n+++ b/moto/ecs/models.py\n@@ -96,13 +96,22 @@ class Cluster(BaseObject, C(...TRUNCATED) | ["tests/test_ecs/test_ecs_boto3.py::test_resource_reservation_and_release_memory_reservation","tests(...TRUNCATED) | [] | getmoto/moto | "=================================== FAILURES ===================================\n_________________(...TRUNCATED) | |
getmoto_moto-6505971ecb0dda833b9828ba71522f2805655674-67144129 | "--- a/moto/utilities/paginator.py\n+++ b/moto/utilities/paginator.py\n@@ -87,13 +87,10 @@ class Pag(...TRUNCATED) | ["tests/test_organizations/test_organizations_boto3.py::test_list_accounts","tests/test_stepfunction(...TRUNCATED) | ["tests/test_utilities/test_paginator.py::test_paginator__invalid_token","tests/test_organizations/t(...TRUNCATED) | getmoto/moto | "=================================== FAILURES ===================================\n_________________(...TRUNCATED) | |
getmoto_moto-0a1924358176b209e42b80e498d676596339a077-688c4a8d | "--- a/moto/utilities/paginator.py\n+++ b/moto/utilities/paginator.py\n@@ -75,17 +75,16 @@ class Pag(...TRUNCATED) | ["tests/test_stepfunctions/test_stepfunctions.py::test_state_machine_list_executions_when_none_exist(...TRUNCATED) | ["tests/test_cognitoidp/test_cognitoidp.py::test_list_user_pools_when_max_items_more_than_total_item(...TRUNCATED) | getmoto/moto | "=================================== FAILURES ===================================\n______________ te(...TRUNCATED) |
Dataset Description
This dataset is an EXTREMELY filtered and deduplicated version of DeepSWE-Gym2-Edu, it aims to improve benchmark results on DeepSWE-style problems, benchmarks, and general coding skills.
It is specifically filtered for rows with complex/long code problems in the original datasets, having an average row size of 8.27MB, a total uncompressed size of 8.27GB, and a total of 1000 examples.
Dataset Details
- Curated by: MoreThought
- Funded by: MoreThought
- Shared by: MoreThought
- License: MIT
Dataset Sources
Repositorys:
- https://huggingface.co/datasets/MoreThought/DeepSWE-Gym
- https://huggingface.co/datasets/SWE-Gym/SWE-Gym
- https://huggingface.co/datasets/PrimeIntellect/SWE-rebench-V2-Filtered-Verified
- https://huggingface.co/datasets/nebius/SWE-bench-extra
- https://huggingface.co/datasets/TIGER-Lab/SWE-Next
- https://huggingface.co/datasets/PrimeIntellect/Multi-SWE-RL-Verified
- https://huggingface.co/datasets/swesynth/SWE-Synth
Papers:
- https://huggingface.co/papers/2504.21798
- https://huggingface.co/papers/2504.02605
- https://huggingface.co/papers/2603.20691
- https://huggingface.co/papers/2602.23866
Uses
Improving benchmark results
Improving general coding capabilities
Training software engineering/coding agents
Improving long-context coding
Important
Do NOT try to use this dataset along with other variants or even versions of it if you don't want overlapping examples.
Almost all LLMs cannot handle examples reaching up to 28MB, use specialized scripts to train properly.
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