Update README.md

README.md

@@ -1,3 +1,148 @@
 ---
 license: cc-by-4.0
+task_categories:
+- text-to-3d
+- image-to-3d
+language:
+- en
+tags:
+- CAD
+- code-generation
 ---
+# CADFS Dataset
+
+<div align="center">
+
+<p style="font-size:36px;">CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Models</p>
+<div style="display: flex; justify-content: center; gap: 10px;">
+  <a href="https://voyleg.github.io/cadfs/" style="display:inline-block;background:#212121;color:white;padding:6px 18px;border-radius:999px;text-decoration:none;font-family:'Segoe UI','Helvetica Neue',Arial,sans-serif;">🚀 Project Page</a>
+  <a href="https://github.com/VladPyatov/CADFS" style="display:inline-block;background:#212121;color:white;padding:6px 18px;border-radius:999px;text-decoration:none;font-family:'Segoe UI','Helvetica Neue',Arial,sans-serif;">💻 Code</a>
+  <a href="https://huggingface.co/VladPyatov/CADFS-2B" style="display:inline-block;background:#212121;color:white;padding:6px 18px;border-radius:999px;text-decoration:none;font-family:'Segoe UI','Helvetica Neue',Arial,sans-serif;">🤗 Model</a>
+</div>
+
+</div>
+
+<br>
+
+A large-scale dataset for **parametric CAD model generation** from text descriptions and multi-view images. Models are represented as [FeatureScript](https://cad.onshape.com/FsDoc/) programs, enabling direct import into Onshape environment.
+
+This dataset was used to train and evaluate **[CADFS](https://huggingface.co/VladPyatov/CADFS-2B)**, a fine-tuned Qwen2-VL-2B multimodal language model for text-to-CAD and image-to-CAD generation.
+
+---
+
+## Data Description
+
+### `dataset/` — Processed Data
+
+| File | Description |
+|------|-------------|
+| `featurescript_fp.zip` | Full-precision processed FeatureScript programs. |
+| `featurescript_rp.zip` | Used in training and evaluation. Reduced-precision variant with floating-point values rounded to 2 decimal places. Produces a more compact token representation suitable for language model training. Note that rounding may break compilability for some models, while others are only compilable in reduced precision. |
+| `text_annotations.zip` | Natural language annotations describing the geometry, topology, and design intent of each model, obtained with GPT-OSS-120b. |
+| `step.zip` | STEP files with B-rep geometry. Rendered from `featurescript_fp.zip` where possible, or `featurescript_rp.zip` otherwise. |
+
+### `raw/` — Raw Source Data
+
+Source data used to create the processed FeatureScript representation.
+
+| File | Description |
+|------|-------------|
+| `featurescript_raw.zip` | Unprocessed FeatureScript programs. |
+| `sketch_raw.zip` | Sketch metadata extracted from FeatureScript feature trees. |
+| `step_abc.zip` | STEP files extracted from the ABC dataset, used in both training and evaluation. |
+| `multiview_images_abc.zip` | Multi-view images rendered from `step_abc.zip`, used in both training and evaluation. |
+
+### `test_data/` — Evaluation Benchmarks
+
+Minimal data required to perform evaluation, without the need to download the full dataset. A `.json` metadata file and a `.zip` archive are provided for each benchmark:
+
+| Benchmark | Contents |
+|-----------|----------|
+| **CADFS** | jsonl, fs, annotations, images, step |
+| **DeepCAD** | jsonl, fs, annotations, images, step |
+| **CADParser** | jsonl, images, step |
+
+### `train_data/` — Training Splits
+
+Training data is split into two stages following the CADFS two-stage fine-tuning strategy, and two input modalities each:
+
+| File | Stage | Modality | Description |
+|------|-------|----------|-------------|
+| `stage1_txt_train.jsonl` | Stage 1 | Text | Pre-training on text-to-FeatureScript generation |
+| `stage1_img_train.jsonl` | Stage 1 | Image | Pre-training on image-to-FeatureScript generation |
+| `stage2_txt_train.jsonl` | Stage 2 | Text | Fine-tuning with high-quality curated text pairs |
+| `stage2_img_train.jsonl` | Stage 2 | Image | Fine-tuning with high-quality curated image-program pairs |
+
+For training and evaluation we use `.jsonl` data format. Each `.jsonl` line follows the format:
+
+**Image input:**
+```json
+{
+  "messages": [
+    {
+      "role": "system",
+      "content": "You are CAD code generation model."
+    },
+    {
+      "role": "user",
+      "content": "<image>Generate a CAD model using FeatureScript framework..."
+    },
+    {
+      "role": "assistant",
+      "content": "FeatureScript 1511;\n..."
+    }
+  ],
+  "images": ["path/to/0085/00858269.png"],
+  "cad_file_id": "00858269"
+}
+```
+
+**Text input:**
+```json
+{
+  "messages": [
+    {
+      "role": "system",
+      "content": "You are CAD code generation model."
+    },
+    {
+      "role": "user",
+      "content": "Step 1 - Sketch\nCreate a new sketch on the default top plane..."
+    },
+    {
+      "role": "assistant",
+      "content": "FeatureScript 1511;\n..."
+    }
+  ],
+  "cad_file_id": "00858269"
+}
+```
+
+---
+
+## Usage
+
+For usage examples, inference code, and FeatureScript processing pipeline, see the [CADFS GitHub repository](https://github.com/VladPyatov/CADFS).
+
+## License
+
+This dataset is released under **[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)**.  
+It may be used for any purpose, including commercial, with attribution.
+
+---
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@inproceedings{pyatov2026cadfs,
+    title      = {{{CADFS}}: A Big {{CAD}} Program Dataset and Framework for Computer-Aided Design with Large Language Models},
+    shorttitle = {{{CADFS}}},
+    booktitle  = {2026 {{IEEE}}/{{CVF Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})},
+    author     = {Vladislav Pyatov and Gleb Bobrovskikh and Saveliy Galochkin and Nikita Boldyrev and Oleg Voynov and Alexander Filippov and Gonzalo Ferrer and Peter Wonka and Evgeny Burnaev},
+    year       = 2026,
+    month      = jun,
+    langid     = {english}
+}
+```