Upload README.md with huggingface_hub

README.md

@@ -1,45 +1,38 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: int32
-  - name: annotation
-    dtype: string
-  - name: source
-    dtype: string
-  - name: problem_level
-    dtype: int32
-  - name: problem_text_cn
-    dtype: string
-  - name: problem_text_en
-    dtype: string
-  - name: problem_img
-    dtype: string
-  - name: construction_cdl
-    list: string
-  - name: text_cdl
-    list: string
-  - name: image_cdl
-    list: string
-  - name: goal_cdl
-    dtype: string
-  - name: problem_answer
-    dtype: string
-  - name: theorem_seqs
-    list: string
-  - name: theorem_seqs_dag_json
-    dtype: string
-  - name: image
-    dtype: image
-  splits:
-  - name: train
-    num_bytes: 180009236
-    num_examples: 6981
-  download_size: 94109776
-  dataset_size: 180009236
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- en
+- zh
+license: mit
+task_categories:
+- question-answering
+pretty_name: FormalGeo7k_v1
 ---
+
+# FormalGeo7k_v1
+
+This dataset is a Hugging Face conversion of `formalgeo7k_v1` from the official FormalGeo repository.
+
+## Dataset Sources
+
+- Repository: https://github.com/FormalGeo/FormalGeo
+- Local source folder in this conversion script: `formalgeo7k_v1/`
+- Problem source (from official metadata): Geometry3k, GeoQA, GeoQA+ and online resources.
+
+## Citation
+
+```bibtex
+@article{zhang2024fgeosss,
+  title={FGeo-SSS: A Search-Based Symbolic Solver for Human-like Automated Geometric Reasoning},
+  author={Zhang, Xiaokai and Zhu, Na and He, Yiming and Zou, Jia and Qin, Cheng and Li, Yang and Leng, Tuo},
+  journal={Symmetry},
+  volume={16},
+  number={4},
+  pages={404},
+  year={2024}
+}
+```
+
+## Notes
+
+- This conversion keeps formal fields such as `construction_cdl`, `text_cdl`, `image_cdl`, and `goal_cdl`.
+- `image` is stored as a Hugging Face `Image` feature.