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
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.