# Dataset Structure README (for model ingestion)

This file documents the exact on-disk structure of datasets currently present in:

- `/mnt/c/users/luiss/circuitgen`
- `/mnt/c/users/luiss/circuitgen/datasets`

Use this as the source of truth for how to parse each dataset.

## Latest derived CGDSL overlay

The latest repaired derived CGDSL export in this repo is:

- `derived/cgdsl/20260307-081439-fix-open-netlistify-ams-overlay`

It is an overlay over:

- `derived/cgdsl/20260305-134840-fix-build-cgdsl-patched`

and only regenerates:

- `open-schematics_hf`
- `netlistify_schematic_images_hf`
- `ams-net.github.io`

Summary of what changed in the derived export:
- `open-schematics_hf`: reconstructed graph connectivity instead of emitting empty-member nets
- `netlistify_schematic_images_hf`: demoted partial/noisy component-layout supervision unless graph and visual component types match exactly
- `ams-net.github.io`: fixed graph-side transistor typing and demoted partial/noisy component-layout supervision unless graph and visual component types match exactly

This file still documents the raw source dataset structure below; it does not replace the per-version derived CGDSL README under `derived/cgdsl/20260307-081439-fix-open-netlistify-ams-overlay/README.md`.

## 1) Open Schematics (two mirrors)

Paths:

- `/mnt/c/users/luiss/circuitgen/open-schematics`
- `/mnt/c/users/luiss/circuitgen/datasets/open-schematics_hf`

Both have the same structure:

```text
open-schematics[_hf]/
  README.md
  .gitattributes
  open-schematics.png
  data/
    train-00000-of-00078.parquet
    ...
    train-00077-of-00078.parquet
```

Key facts:

- `78` parquet shards.
- Per-row parquet schema:
  - `schematic: string` (schematic source text, typically KiCad)
  - `image: struct{bytes: binary, path: string}` (rendered image bytes + filename)
  - `components_used: list<string>`
  - `json: string`
  - `yaml: string`
  - `name: string`
  - `description: string`
  - `type: string` (example: `.kicad_sch`)

How to treat:

- Primary supervised pair for generation: `schematic` (or graph derived from it) -> `image.bytes`.
- `json`, `yaml`, and `components_used` are auxiliary metadata/features.

## 2) Netlistify HF dataset (gated dataset, now pulled)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/netlistify_schematic_images_hf`

Structure:

```text
netlistify_schematic_images_hf/
  README.md
  .gitattributes
  comoponent_id.txt
  images.zip
  components.zip
  pkl.zip
  sp.zip
```

Inside archives:

- `images.zip` -> `images/circuit<ID>.jpg` (`100001` entries incl. folder entry)
- `components.zip` -> `components/circuit<ID>.txt`
- `pkl.zip` -> `pkl/circuit<ID>.pkl`
- `sp.zip` -> `sp_folder_after/circuit<ID>.sp`

Canonical sample key:

- Integer `<ID>` in filename (`circuit0`, `circuit1`, ...).
- Join all modalities by matching this `<ID>`.

Observed formats:

- `components/circuit<ID>.txt`: YOLO-like component lines + orientation token, e.g.
  - `<class_id> <x_center> <y_center> <width> <height> <orientation>`
- `pkl/circuit<ID>.pkl`: Python `dict`; keys are net names (`net0`, `gnd`, ...), values are lists of line segments like `[x1, y1, x2, y2]` (normalized coords).
- `sp_folder_after/circuit<ID>.sp`: SPICE/HSPICE text netlist.

How to treat:

- Main pair for your task: `.sp` (graph) + `.pkl` (net geometry hints) -> `.jpg`.
- `components` can be used as auxiliary symbol supervision.

## 3) AMSNet 1.0 (repo + zip + extracted)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/ams-net.github.io`

Top-level:

```text
ams-net.github.io/
  amsnet_1.0-20240412T024532Z-001.zip        # valid dataset zip
  amsnet_1.0/                                # extracted
    amsnet_1.0/
      0/
      1/
      ...
      733/                                   # 734 circuit folders total
  AMSNet_1_1.ipynb
  README.md
  LICENSE
  index.html
  amsnet_1.0-from-blob.zip                   # HTML artifact from blob URL (ignore)
```

Per-circuit folder pattern (`<N>/`):

```text
<N>.cir
<N>.jpg
<N>_bbox.json
<N>_cpnt.jpg
<N>_net.jpg
```

Observed `*_bbox.json` format:

- JSON object; keys are class+orientation buckets (e.g. `nmos_90`, `resistor_0`, `net-black_100`, ...).
- Values are lists of bboxes, each like `[xmin, ymin, xmax, ymax]`.

How to treat:

- Core pair for generation: `<N>.cir` -> `<N>.jpg`.
- `<N>_cpnt.jpg`, `<N>_net.jpg`, and `<N>_bbox.json` are auxiliary supervision.

## 4) CI2N datasets

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/ci2n_datasets`

Structure:

```text
ci2n_datasets/
  device_identification/
    <ID>.png
    <ID>.json
  device_orientation/
    train_amp_d/{d,l,r,u}/...
    train_amp_m/{0,1}/...
    train_bjt_d/{d,l,r,u}/...
    train_bjt_m/{0,1}/...
    train_diode/{d,l,r,u}/...
    train_mos/{d,l,r,u}/...
    train_switch/{d,l,r,u}/...
    train_voltagelines/{d,l,r,u}/...
  jumper_identification/
    images/{train,val}/...
    labels/{train,val}/...
  validation/
    images/<ID>.png
    golden/<ID>.json
    calc_ged.py
    utils_ged.py
```

Validation JSON observed keys:

- `ckt_netlist`
- `ckt_type`

How to treat:

- Best as auxiliary detection/graph-eval data, not a single unified netlist->render benchmark.

## 5) Digitize-HCD (zip downloaded, not extracted)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/digitize-hcd/Digitize-HCD Dataset.zip`

Zip top-level:

```text
Digitize-HCD Dataset/
  Component Symbol and Text Label Data/
    Circuit Diagram Images/circuit_<ID>.jpg
    component_annotations.json
    text_annotations.json
  Component Port Location Data/
    <17 class folders>/
      Input Images/
      Output Heatmaps/
      XY Coordinates/
```

Observed 17 component class folders under `Component Port Location Data`:

- `BJT-NPN`, `BJT-PNP`, `Capacitor`, `Diode`, `GND`, `I-AC`, `I-DC`, `Inductor`, `MOSFET-N`, `MOSFET-P`, `Op-Amp`, `Resistor`, `V-AC`, `V-DC`, `V-DC (one-port)`, `Wire Crossover`, `Zener Diode`.

How to treat:

- Symbol/text/port localization dataset (handwritten domain).
- Not a direct netlist->render pair dataset.

## 6) SPICE netlist corpus (no paired images)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/spice-datasets`

Structure:

```text
spice-datasets/
  kicad_github/      # mostly .cir / .cir2 / .cir3
  ltspice_demos/     # .net
  ltspice_examples/  # .net
  README.md
  LICENSE.txt
```

How to treat:

- Topology/netlist source corpus only (good for graph sampling/pretraining).
- No direct rendered-image pairing inside this dataset.

## 7) Netlistify GitHub repo (tooling repo, not the HF dataset)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/Netlistify`

Structure (top-level):

```text
Netlistify/
  main.py
  main_config.py
  testing.py
  Model.py
  requirements.txt
  final_test/
  Visualizer/
  ...
```

How to treat:

- Code/training pipeline repository.
- Use for scripts/model logic, not as a raw dataset directory.

## 8) CGHD repo clone (metadata only in this checkout)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/cghd`

Current structure:

```text
cghd/
  .gitattributes
  classes.json
  README.md
  LICENSE
```

Notes:

- `.gitattributes` marks image extensions as Git LFS-tracked.
- This checkout does not currently contain the actual large image/annotation payload.

How to treat:

- Metadata/reference only unless full data is later fetched.

## 9) AMSNet2.0 website repo clone (project page assets)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/AMSNet2.0.github.io`

Structure:

```text
AMSNet2.0.github.io/
  index.html
  test.html
  static/
    css/
    images/
    js/
    pdfs/
    videos/
```

How to treat:

- Website/project-page assets only.
- No dataset payload in this checkout.

## 10) Placeholder folder from pre-auth attempt

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/netlistify_schematic_images`

Structure:

```text
netlistify_schematic_images/
  README.md
```

How to treat:

- Placeholder from earlier gated-access attempt; not the real downloaded dataset.
- Use `netlistify_schematic_images_hf/` instead.

## 11) CGHD full payload from Zenodo (downloaded + extracted)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/cghd_zenodo`

Structure:

```text
cghd_zenodo/
  cghd-zenodo-4.zip
  extracted/
    README.md
    classes.json
    classes_color.json
    classes_discontinuous.json
    consistency.py
    drafter_1/
    ...
    drafter_22/
      annotations/
      images/
      instances/
      segmentation/
      spice/            # present for some drafters/samples
```

Observed size/details:

- `cghd-zenodo-4.zip` is ~2.3 GB.
- `extracted/` is ~2.4 GB.
- `extracted/` currently contains `4700` files.

How to treat:

- This is the actual full CGHD payload to use for training/eval.
- Primarily handwritten symbol/box/segmentation supervision with some SPICE netlist coverage.

## 12) CGHD HF mirror snapshot (partial local pull)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/cghd_hf`

Structure currently present:

```text
cghd_hf/
  .cache/huggingface/
  README.md
  classes.json
  classes_color.json
  classes_discontinuous.json
  classes_ports.json
  consistency.py
  drafter_-1/
  drafter_0/
```

Notes:

- This local copy is partial due HF rate-limited snapshot attempts during pull.
- Prefer `cghd_zenodo/extracted/` as canonical CGHD data.

How to treat:

- Reference/partial mirror only.

## 13) CircuitSense-6k (HF clone)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/Circuitsense-6k_hf`

Structure:

```text
Circuitsense-6k_hf/
  .gitattributes
  q1/
    q1_image.png
    q1_netlist.txt
    q1_question.txt
    q1_ta.txt
  q2/
  ...
```

Observed details:

- Git-tracked files: `25197`.
- Current local checkout completeness: `missing=0` (all tracked files present).
- Directory count with `q<ID>/`: `6299`.
- Example netlist format is SPICE-like plain text lines.
- Question files ask transfer-function-style queries; `q*_ta.txt` holds answer text.

How to treat:

- Useful paired supervision: `q*_netlist.txt` + `q*_image.png`.
- QA fields are auxiliary tasks/features.

## 14) CircuitSense TransferFunction-only subset (HF clone)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/CircuitSense-100-TF_hf`

Structure:

```text
CircuitSense-100-TF_hf/
  .gitattributes
  q<ID>/
    q<ID>_image.png
    q<ID>_netlist.txt
    q<ID>_question.txt
    q<ID>_ta.txt
```

Observed details:

- Git-tracked files: `397`.
- Current local checkout completeness: `missing=0`.

How to treat:

- Small TF-focused subset; good for quick sanity checks/evaluation.

## 15) CircuitVQA (HF clone)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/circuitvqa_hf`

Structure:

```text
circuitvqa_hf/
  .gitattributes
  images/*.jpg
  mapping_report.json
  train.jsonl
  val.jsonl
  test.jsonl
```

Observed details:

- Git-tracked files: `5432`.
- Current local checkout completeness: `missing=0`.
- Image count (`images/*.jpg`): `5425`.
- `mapping_report.json` indicates `total=115582` QA rows and `matched=115582`.
- JSONL rows include fields:
  - `image`, `question`, `answer`, `qtype`, `symbol`.

How to treat:

- Circuit visual QA supervision (count/value/position/symbol reasoning).
- Not a direct netlist->render benchmark by itself.

## 16) CircuitVQADesc (HF clone)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/circuitvqadesc_hf`

Structure:

```text
circuitvqadesc_hf/
  .gitattributes
  images/*.jpg
  mapping_report.json
  train.jsonl
  val.jsonl
  test.jsonl
```

Observed details:

- Git-tracked files: `5430`.
- Current local checkout completeness: `missing=0`.
- Image count (`images/*.jpg`): `5425`.

How to treat:

- Same family as CircuitVQA; auxiliary circuit reasoning/description supervision.

## 17) LTspice SPICE<->ASC paired datasets (HF clones)

Paths:

- `/mnt/c/users/luiss/circuitgen/datasets/ltspice-spice-circuits_hf`
- `/mnt/c/users/luiss/circuitgen/datasets/ltspice-spice-circuits-no-aug_hf`

Shared structure:

```text
ltspice-spice-circuits*_hf/
  README.md
  .gitattributes
  data/
    train-00000-of-00001.parquet
    test-00000-of-00001.parquet
```

Parquet schema:

- `netlist: string`
- `asc: string` (LTspice schematic text format)

Observed split sizes:

- `ltspice-spice-circuits_hf`: train `53000`, test `2790`.
- `ltspice-spice-circuits-no-aug_hf`: train `7866`, test `414`.

How to treat:

- Strong text-to-text grounded dataset for schematic layout representation learning.
- Good source for parser pretraining and graph-aware intermediate objectives.

## 18) Masala-CHAI repo + external payloads

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/Masala-CHAI`

Structure now present:

```text
Masala-CHAI/
  README.md
  main.py
  Dataset/
    data_1/
    data_2/
    data_3/
    data_4/
    data_5/
  external_downloads/
    masala-chai-dataset.zip
    hough-assets.zip
  dataset_payload/
    masala-chai-dataset-new/
      images/img<ID>.jpg
      spice/spice<ID>.txt
      captions/cap<ID>.txt
  hough_payload/
    hough/htlcnn/...
```

Observed counts (external dataset payload):

- `images/`: `6371` files.
- `spice/`: `6069` files.
- `captions/`: `6403` files.

Notes:

- The three modalities are not identical in count; join by numeric `<ID>` intersection.
- Repo `Dataset/data_*` folders are additional image collections from project sources.

How to treat:

- `spice` + `images` are useful for netlist-conditioned tasks.
- `captions` can support multimodal/description-side supervision.

## 19) Lessons in Electric Circuits source packs (textbook assets)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/lessons-in-electric-circuits`

Structure:

```text
lessons-in-electric-circuits/
  liechtml.tar.gz
  liecsrc.tar
  liectiny.tar
  extracted_html/
    AC/ DC/ Devel/ Digital/ Exper/ Ref/ Semi/
  extracted_src/
    AC/ DC/ Devel/ Digital/ Exper/ Ref/ Semi/ bin/
  extracted_tiny/
    AC/ DC/ Devel/ Digital/ Exper/ Ref/ Semi/ bin/
```

Observed counts:

- `extracted_html/`: `4034` files.
- `extracted_src/`: `98` files.
- `extracted_tiny/`: `98` files.
- Image assets inside `extracted_html/` (`png/jpg/jpeg/gif/svg`): `3632`.

How to treat:

- Style/reference corpus for textbook-like circuit figures.
- Not directly paired with machine-readable netlists in this dump.

## 20) kicad-library (CircuitSnips platform repo clone)

Path:

- `/mnt/c/users/luiss/circuitgen/datasets/kicad-library`

Structure:

```text
kicad-library/
  README.md
  package.json
  src/
  public/
  scripts/
  supabase/
  ...
```

Observed notes:

- This is the web/platform codebase clone.
- This checkout currently has `0` `.kicad_sch` files.
- The scraped corpus referenced in the README is not embedded as raw dataset files in this repo clone.

How to treat:

- Tooling/reference repository only unless separate circuit payload export is added.