Re-upload from verified local mirror

README.md

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+---
+dataset_info:
+  features:
+  - name: messages
+    list:
+    - name: content
+      dtype: string
+    - name: role
+      dtype: string
+  - name: ground_truth
+    dtype: string
+  - name: dataset
+    dtype: string
+  - name: env_config
+    struct:
+    - name: env_name
+      dtype: string
+    - name: image
+      dtype: string
+    - name: task_id
+      dtype: string
+  - name: source
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 210958149
+    num_examples: 59136
+  download_size: 36934260
+  dataset_size: 210958149
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+license: mit
+---
+![image](https://cdn-uploads.huggingface.co/production/uploads/62608fc2ffe8827cb1d89f9f/XMW9_q0GCubxzTOgdsb4K.png)
+<p align="center">
+  💻 <a href="https://github.com/hamishivi/tmax">Code</a> ·
+  🤗 <a href="https://huggingface.co/collections/allenai/tmax">Models &amp; Data</a> ·
+  📜 <a href="https://arxiv.org/abs/xxx">Paper</a> ·
+  📓 <a href="https://wai-org.com/blog/tmax/">Blog</a>
+</p>
+
+> [!NOTE]
+> For full information, go check out the Tmax paper [here](https://arxiv.org/abs/xxx).
+
+# SWE-Smith - Open Instruct formatted
+
+This is swe-smith formatted for use with our fork of [open-instruct](github.com/hamishivi/tmax).
+For more information and the original data, you should check out [the original source](https://huggingface.co/datasets/SWE-bench/SWE-smith).

data/train-00000-of-00001.parquet

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+size 36934260

task-data.tar.gz

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