| { |
| "name": "stack_v2_sparse_classes_36k", |
| "source_dataset_dir": "data/stack_v2_sparse_classes_30k", |
| "source_dataset": "bigcode/the-stack-v2-dedup", |
| "source_data_files": "data/Python/*.parquet", |
| "snapshot_size": 36000, |
| "snapshot_seed": 42, |
| "bad_json_lines_skipped": 0, |
| "splits": { |
| "train": 35000, |
| "val": 500, |
| "test": 500 |
| }, |
| "format": "class-level Python code generation with prompt, skeleton, method bodies, and reconstructed solution", |
| "filters": { |
| "min_methods": 2, |
| "max_methods": 6, |
| "require_method_docstrings": true, |
| "min_body_lines": 3, |
| "max_body_lines": 30, |
| "max_total_tokens": 1500, |
| "min_length_bytes": 500, |
| "max_length_bytes": 50000, |
| "skip_tests_docs_examples_init": true, |
| "pyflakes_hard_filter": false |
| }, |
| "method_count_distribution": { |
| "2": 21551, |
| "3": 8022, |
| "4": 3599, |
| "5": 1850, |
| "6": 978 |
| }, |
| "top_repos": [ |
| [ |
| "cohesity/management-sdk-python", |
| 449 |
| ], |
| [ |
| "microsoftgraph/msgraph-sdk-python", |
| 394 |
| ], |
| [ |
| "home-assistant/core", |
| 286 |
| ], |
| [ |
| "sungminoh/algorithms", |
| 122 |
| ], |
| [ |
| "jansel/pytorch-jit-paritybench", |
| 122 |
| ], |
| [ |
| "953250587/leetcode-python", |
| 119 |
| ], |
| [ |
| "Shiv2157k/leet_code", |
| 117 |
| ], |
| [ |
| "Jimmy-INL/google-research", |
| 100 |
| ], |
| [ |
| "metoppv/improver", |
| 90 |
| ], |
| [ |
| "bssrdf/pyleet", |
| 90 |
| ], |
| [ |
| "dealflowteam/Idfy", |
| 76 |
| ], |
| [ |
| "vsdrun/lc_public", |
| 75 |
| ], |
| [ |
| "JavaRod/SP_Python220B_2019", |
| 74 |
| ], |
| [ |
| "oxhead/CodingYourWay", |
| 73 |
| ], |
| [ |
| "vincent-lg/tsunami", |
| 73 |
| ], |
| [ |
| "mindspore-ai/models", |
| 71 |
| ], |
| [ |
| "inventree/InvenTree", |
| 67 |
| ], |
| [ |
| "log2timeline/plaso", |
| 66 |
| ], |
| [ |
| "luque/better-ways-of-thinking-about-software", |
| 63 |
| ], |
| [ |
| "yiming1012/MyLeetCode", |
| 63 |
| ] |
| ], |
| "avg_body_lines": 9.1440909372996, |
| "task": "Given class/method signatures and docstrings, generate class skeleton and method bodies for Diffusion + AR hybrid code generation experiments." |
| } |
|
|