| --- |
| dataset_info: |
| features: |
| - name: query |
| dtype: string |
| - name: image |
| dtype: image |
| - name: annot |
| dtype: string |
| - name: reasoning |
| dtype: 'null' |
| - name: cate |
| dtype: string |
| - name: task |
| dtype: string |
| - name: metadata |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 8513591 |
| num_examples: 101 |
| download_size: 7904861 |
| dataset_size: 8513591 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| pretty_name: ED-D08 |
| license: other |
| tags: |
| - smart-manufacturing |
| - sft |
| - industrial |
| extra_gated_fields: |
| Name: text |
| Affiliation: text |
| Intended use: text |
| extra_gated_prompt: This dataset is released for **research use**. Access is reviewed |
| and granted **manually** by the maintainers. Please state your name, affiliation, |
| and intended use. |
| --- |
| # ED-D08 |
|
|
| Engineering-design tasks reformatted into the unified smart-manufacturing SFT schema. Category **E** (code / program), task **T-E2**. |
|
|
| > The repository name is an internal code. See **Provenance** below for the underlying dataset. |
|
|
| ## Records |
|
|
| **101** records (no train/val/test split). |
|
|
| **Images & attachments.** The single representative input figure is inlined via the HF `Image` feature (original path kept in `metadata.image_path`); a **`images`** column (`list[Image]`) byte-inlines **every** genuine input figure, so multi-figure tasks (e.g. 6 noise renders, 8 membership-function plots) that one `image` cannot hold still travel in full (16 tasks, 25 figures). Answer/render figures are **not** shipped — they are listed as provenance paths in `metadata.solution_figures` / `other_figures`. Text attachments (`.json`, `.vcd`) are inlined into `metadata.attachments_text` (relative path → file content); genuine binary attachments (`.npy` arrays, `.mp4` animations) ship as files under `attachments/` and are listed in `metadata.attached_files`. |
|
|
| ## Unified SFT schema (8 fields) |
|
|
| | field | type | meaning | |
| |---|---|---| |
| | `query` | str | the question / query / instruction | |
| | `image` | Image \| null | the single representative INPUT figure, byte-inlined (14 records); `null` otherwise. Original relative path kept in `metadata.image_path` | |
| | `images` | list[Image] | **D08-specific field.** Byte-inlined list of **all** genuine INPUT figures for the task (covers multi-figure tasks the single `image` cannot hold); empty list when the task has no input figure | |
| | `annot` | str \| list[str] | label / answer / annotation (resolves solution.txt → solution.py → output-structure spec; never the prompt) | |
| | `reasoning` | str \| null | always `null` here (solution text is not a CoT trace) | |
| | `cate` | "A".."E" | one of the five SFT categories (this dataset: E) | |
| | `task` | "T-xx" | unified task id (this dataset: T-E2) | |
| | `metadata` | str (JSON) | all other info: `image_path`, `input_figures`/`solution_figures`/`other_figures`, `attached_files`, `attachments_text`, `annot_source`, … | |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("AI4Manufacturing/ED-D08") |
| ``` |
| _Gated — request access on the dataset page; access is granted manually by the maintainers._ |
|
|
| ## Provenance & license |
|
|
| This dataset is a **reformatted derivative** (unified SFT schema) of: |
|
|
| EngDesign — *Toward Engineering AGI* (NeurIPS 2025 Datasets & Benchmarks). |
|
|
| - Paper: https://arxiv.org/abs/2509.16204 |
| - Code: https://github.com/agi4engineering/EngDesign |
| - Original data: https://huggingface.co/datasets/opt1zer/EngDesign |
|
|
| Refer to the upstream source for the original licensing terms; this reformatted version is shared for research use. Please cite the upstream work. |
|
|
