Update README.md

README.md

@@ -1,40 +1,70 @@
----
-license: apache-2.0
-dataset_info:
-  features:
-  - name: repo
-    dtype: string
-  - name: pull_number
-    dtype: int64
-  - name: instance_id
-    dtype: string
-  - name: issue_numbers
-    sequence: string
-  - name: base_commit
-    dtype: string
-  - name: patch
-    dtype: string
-  - name: test_patch
-    dtype: string
-  - name: problem_statement
-    dtype: string
-  - name: hints_text
-    dtype: string
-  - name: created_at
-    dtype: timestamp[s]
-  - name: language
-    dtype: string
-  - name: label
-    dtype: string
-  splits:
-  - name: test
-    num_bytes: 81623836
-    num_examples: 334
-  download_size: 24032638
-  dataset_size: 81623836
-configs:
-- config_name: default
-  data_files:
-  - split: test
-    path: data/test-*
----
+---
+license: apache-2.0
+dataset_info:
+  features:
+  - name: repo
+    dtype: string
+  - name: pull_number
+    dtype: int64
+  - name: instance_id
+    dtype: string
+  - name: issue_numbers
+    sequence: string
+  - name: base_commit
+    dtype: string
+  - name: patch
+    dtype: string
+  - name: test_patch
+    dtype: string
+  - name: problem_statement
+    dtype: string
+  - name: hints_text
+    dtype: string
+  - name: created_at
+    dtype: timestamp[s]
+  - name: language
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 81623836
+    num_examples: 334
+  download_size: 24032638
+  dataset_size: 81623836
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test-*
+---
+
+# Dataset Summary
+
+Multi-Docker-Eval is a multi-language, multi-dimensional benchmark designed to rigorously evaluate the capability of Large Language Model (LLM)-based agents in automating a critical yet underexplored task: constructing executable Docker environments for real-world software repositories.
+
+# How to Use
+
+```python
+from datasets import load_dataset
+ds = load_dataset('litble/Multi-Docker-Eval')
+```
+
+# Dataset Structure
+
+The data format of Multi-Docker-Eval is directly compatible with the [swe-factory](https://github.com/DeepSoftwareAnalytics/swe-factory) and [RepoLaunch](https://github.com/microsoft/SWE-bench-Live) frameworks.
+
+| **Field name** | **Type** | **Description** |
+| --- | --- | --- |
+| `instance_id` | str | A formatted instance identifier, usually as `repo_owner__repo_name-PR-number`. |
+| `repo` | str | The repository owner/name identifier from GitHub. |
+| `pull_number` | int64 | The GitHub pull request number that contains the solution (patch and test_patch). |
+| `issue_numbers` | list(str) | A list of the GitHub issue numbers that are addressed and resolved by this pull request. |
+| `base_commit` | str | The commit hash of the repository representing the HEAD of the repository before the solution PR is applied. |
+| `patch` | str | The gold patch, the patch generated by the PR (minus test-related code), that resolved the issue. |
+| `test_patch` | str | A test-file patch that was contributed by the solution PR. |
+| `problem_statement` | str | The issue title and body. |
+| `hints_text` | str | Comments made on the issue prior to the creation of the solution PR’s first commit creation date. |
+| `created_at` | timestamp[s] | The creation date of the pull request. |
+| `language` | str | The programming language of the repository. |
+| `label` | str | Classification of environmental configuration difficulty (Easy/Hard). |