Duplicate from SWE-bench/SWE-bench_Multimodal

Co-authored-by: John <john-b-yang@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+dataset_info:
+  features:
+  - name: repo
+    dtype: string
+  - name: instance_id
+    dtype: 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: string
+  - name: image_assets
+    dtype: string
+  - name: version
+    dtype: string
+  - name: FAIL_TO_PASS
+    dtype: string
+  - name: PASS_TO_PASS
+    dtype: string
+  splits:
+  - name: dev
+    num_bytes: 4107331
+    num_examples: 102
+  - name: test
+    num_bytes: 893599
+    num_examples: 510
+  download_size: 1856189
+  dataset_size: 5000930
+configs:
+- config_name: default
+  data_files:
+  - split: dev
+    path: data/dev-*
+  - split: test
+    path: data/test-*
+---
+
+# SWE-bench Multimodal
+
+SWE-bench Multimodal is a dataset of 617 task instances that evalutes Language Models and AI Systems on their ability to resolve real world GitHub issues.
+
+To learn more about the dataset, please visit [our website](https://swebench.com/multimodal).
+You can find the leaderboard at SWE-bench's [home page](https://www.swebench.com/#multimodal).

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