Add model card

README.md

@@ -1,73 +1,13 @@
 ---
-# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
-# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
-{}
+license: mit
+library_name: transformers
+pipeline_tag: text-generation
 ---
 
 # CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction
 
-<p align="left">
-    📑 <a href="https://huggingface.co/papers/2502.07316" target="_blank">Paper</a> &nbsp&nbsp | &nbsp&nbsp 🌐 <a href="https://codei-o.github.io/" target="_blank">Project Page</a> &nbsp&nbsp | &nbsp&nbsp 💾 <a href="https://huggingface.co/collections/hkust-nlp/codei-o-67a978e28fd926b56a4f55a2" target="_blank">Released Resources</a> &nbsp&nbsp | &nbsp&nbsp 📦 <a href="https://github.com/hkust-nlp/CodeIO" target="_blank">Repo</a>  
+[https://huggingface.co/papers/2502.07316](https://huggingface.co/papers/2502.07316)
 
-This is the resource page of the CodeI/O collection on Huggingface, we highlight your currect position with a blue block.
+Code: https://github.com/hkust-nlp/CodeIO
 
-**Dataset**
-<table>
-      <tr>
-        <th>Dataset</th>
-        <th>Link</th>
-    </tr>
-      <tr>
-        <td>CodeI/O-PythonEdu-Reasoning</td>
-        <td style="text-align: center; vertical-align: middle;">
-          <a href="https://huggingface.co/datasets/hkust-nlp/CodeIO-PyEdu-Reasoning">🤗</a>
-        </td>
-    </tr>
-</table>
-
-**Models**
-<table>
-    <tr>
-        <th rowspan="2">Base Model / Training</th>
-        <th colspan="2">CodeI/O</th>
-        <th colspan="2">CodeI/O++</th>
-    </tr>
-    <tr>
-        <th>Stage 1</th>
-        <th>Stage 2</th>
-        <th>Stage 1</th>
-        <th>Stage 2</th>
-    </tr>
-    <tr>
-        <td>Qwen 2.5 7B Coder</td>
-        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio_stage1">🤗</a></td>
-        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio">🤗</a></td>
-        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio_pp_stage1">🤗</a></td>
-        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/qwen2.5-7b-coder_codeio_pp">🤗</a></td>
-    </tr>
-    <tr>
-        <td>LLaMA 3.1 8B</td>
-        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio_stage1">🤗</a></td>
-        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio">🤗</a></td>
-        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio_pp_stage1">🤗</a></td>
-        <td style="background-color: #e6f3ff; text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/llama3.1-8b_codeio_pp">🤗</a></td>
-    </tr>
-    <tr>
-        <td>DeepSeek v2 Lite Coder</td>
-        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio_stage1">🤗</a></td>
-        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio">🤗</a></td>
-        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio_pp_stage1">🤗</a></td>
-        <td style="text-align: center; vertical-align: middle;"><a href="https://huggingface.co/hkust-nlp/dsv2-lite-coder_codeio_pp">🤗</a></td>
-    </tr>
-</table>
-
-## Citation
-If you find these resources helpful, please kindly cite as:
-```
-@article{li2025codeio,
-  title={CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction},
-  author={Li, Junlong and Guo, Daya and Yang, Dejian and Xu, Runxin and Wu, Yu and He, Junxian},
-  journal={arXiv preprint arXiv:2502.07316},
-  year={2025}
-}
-```
+The model takes text as input and produces text as output and is based on the transformers library.