---
dataset_info:
- config_name: default
  features:
  - name: label
    dtype:
      class_label:
        names:
          '0': '"'
          '1': '#'
          '2': $
          '3': '%'
          '4': '&'
          '5': ':'
          '6': '@'
          '7': \
          '8': '{'
          '9': '}'
          '10': '~'
          '11': ¢
          '12': £
          '13': ¥
          '14': §
          '15': ©
          '16': «
          '17': ¬
          '18': ®
          '19': °
          '20': ±
          '21': ¶
          '22': ·
          '23': »
          '24': ¿
          '25': ×
          '26': ÷
          '27': Γ
          '28': Δ
          '29': Θ
          '30': Λ
          '31': Ξ
          '32': Π
          '33': Σ
          '34': Υ
          '35': Φ
          '36': Ψ
          '37': Ω
          '38': α
          '39': β
          '40': γ
          '41': δ
          '42': ε
          '43': ζ
          '44': η
          '45': θ
          '46': ι
          '47': κ
          '48': λ
          '49': μ
          '50': ν
          '51': ξ
          '52': π
          '53': ρ
          '54': ς
          '55': σ
          '56': τ
          '57': υ
          '58': φ
          '59': χ
          '60': ψ
          '61': ω
          '62': ϑ
          '63': ϕ
          '64': ϖ
          '65': ϰ
          '66': ϱ
          '67': ϵ
          '68': א
          '69': –
          '70': —
          '71': ‖
          '72': “
          '73': ”
          '74': †
          '75': ‡
          '76': •
          '77': …
          '78': ‰
          '79': ′
          '80': ‵
          '81': ‸
          '82': ‹
          '83': ›
          '84': ※
          '85': ₩
          '86': ₫
          '87': €
          '88': ℂ
          '89': ℍ
          '90': ℑ
          '91': ℓ
          '92': ℕ
          '93': ℗
          '94': ℙ
          '95': ℚ
          '96': ℜ
          '97': ℝ
          '98': ™
          '99': ℤ
          '100': ℧
          '101': ←
          '102': ↑
          '103': →
          '104': ↓
          '105': ↔
          '106': ↕
          '107': ↖
          '108': ↗
          '109': ↘
          '110': ↙
          '111': ↚
          '112': ↛
          '113': ↞
          '114': ↠
          '115': ↢
          '116': ↣
          '117': ↤
          '118': ↦
          '119': ↩
          '120': ↪
          '121': ↫
          '122': ↬
          '123': ↭
          '124': ↮
          '125': ↯
          '126': ↶
          '127': ↷
          '128': ↺
          '129': ↻
          '130': ↼
          '131': ↽
          '132': ↾
          '133': ↿
          '134': ⇀
          '135': ⇁
          '136': ⇂
          '137': ⇃
          '138': ⇄
          '139': ⇆
          '140': ⇇
          '141': ⇈
          '142': ⇉
          '143': ⇊
          '144': ⇋
          '145': ⇌
          '146': ⇍
          '147': ⇎
          '148': ⇏
          '149': ⇐
          '150': ⇑
          '151': ⇒
          '152': ⇓
          '153': ⇔
          '154': ⇕
          '155': ⇚
          '156': ⇛
          '157': ⇝
          '158': ⇠
          '159': ⇢
          '160': ⇽
          '161': ⇾
          '162': ⇿
          '163': ∀
          '164': ∁
          '165': ∂
          '166': ∃
          '167': ∄
          '168': ∅
          '169': ∇
          '170': ∈
          '171': ∉
          '172': ∋
          '173': ∎
          '174': ∏
          '175': ∐
          '176': ∑
          '177': ∓
          '178': ∔
          '179': ∖
          '180': ∗
          '181': ∘
          '182': ∙
          '183': ∝
          '184': ∞
          '185': ∠
          '186': ∡
          '187': ∢
          '188': ∣
          '189': ∤
          '190': ∥
          '191': ∦
          '192': ∧
          '193': ∨
          '194': ∩
          '195': ∪
          '196': ∫
          '197': ∬
          '198': ∭
          '199': ∮
          '200': ∯
          '201': ∲
          '202': ∳
          '203': ∴
          '204': ∵
          '205': ∼
          '206': ∽
          '207': ≀
          '208': ≁
          '209': ≃
          '210': ≅
          '211': ≇
          '212': ≈
          '213': ≊
          '214': ≍
          '215': ≒
          '216': ≓
          '217': ≜
          '218': ≠
          '219': ≡
          '220': ≤
          '221': ≥
          '222': ≦
          '223': ≧
          '224': ≨
          '225': ≩
          '226': ≪
          '227': ≫
          '228': ≮
          '229': ≯
          '230': ≰
          '231': ≱
          '232': ≲
          '233': ≳
          '234': ≶
          '235': ≷
          '236': ≺
          '237': ≻
          '238': ≼
          '239': ≽
          '240': ≾
          '241': ≿
          '242': ⊀
          '243': ⊁
          '244': ⊂
          '245': ⊃
          '246': ⊆
          '247': ⊇
          '248': ⊈
          '249': ⊉
          '250': ⊊
          '251': ⊋
          '252': ⊎
          '253': ⊏
          '254': ⊐
          '255': ⊑
          '256': ⊒
          '257': ⊓
          '258': ⊔
          '259': ⊕
          '260': ⊖
          '261': ⊗
          '262': ⊘
          '263': ⊙
          '264': ⊚
          '265': ⊛
          '266': ⊝
          '267': ⊞
          '268': ⊟
          '269': ⊠
          '270': ⊡
          '271': ⊢
          '272': ⊣
          '273': ⊤
          '274': ⊥
          '275': ⊧
          '276': ⊨
          '277': ⊩
          '278': ⊬
          '279': ⊭
          '280': ⊲
          '281': ⊳
          '282': ⊴
          '283': ⊵
          '284': ⊸
          '285': ⋀
          '286': ⋁
          '287': ⋂
          '288': ⋃
          '289': ⋅
          '290': ⋆
          '291': ⋇
          '292': ⋉
          '293': ⋊
          '294': ⋋
          '295': ⋌
          '296': ⋍
          '297': ⋎
          '298': ⋏
          '299': ⋐
          '300': ⋑
          '301': ⋒
          '302': ⋓
          '303': ⋖
          '304': ⋗
          '305': ⋘
          '306': ⋙
          '307': ⋚
          '308': ⋛
          '309': ⋞
          '310': ⋟
          '311': ⋦
          '312': ⋧
          '313': ⋨
          '314': ⋩
          '315': ⋬
          '316': ⋭
          '317': ⋮
          '318': ⋱
          '319': ⌀
          '320': ⌈
          '321': ⌉
          '322': ⌊
          '323': ⌋
          '324': ⌢
          '325': ⌣
          '326': △
          '327': ▴
          '328': ▵
          '329': ▶
          '330': ▷
          '331': ▽
          '332': ▾
          '333': ▿
          '334': ◀
          '335': ◁
          '336': ◇
          '337': ★
          '338': ☉
          '339': ♀
          '340': ♂
          '341': ♠
          '342': ♡
          '343': ♢
          '344': ♣
          '345': ♭
          '346': ♮
          '347': ♯
          '348': ✓
          '349': ✠
          '350': ⟂
          '351': ⟅
          '352': ⟆
          '353': ⟨
          '354': ⟩
          '355': ⟵
          '356': ⟶
          '357': ⟷
          '358': ⟸
          '359': ⟹
          '360': ⟺
          '361': ⟻
          '362': ⟼
          '363': ⟽
          '364': ⟾
          '365': ⤆
          '366': ⤇
          '367': ⦇
          '368': ⦈
          '369': ⨀
          '370': ⨁
          '371': ⨂
          '372': ⨄
          '373': ⨆
          '374': ⨌
          '375': ⨏
          '376': ⨖
          '377': ⨝
          '378': ⩽
          '379': ⩾
          '380': ⪅
          '381': ⪆
          '382': ⪇
          '383': ⪈
          '384': ⪉
          '385': ⪊
          '386': ⪯
          '387': ⪰
          '388': ⪷
          '389': ⪸
          '390': ⪹
          '391': ⪺
          '392': 𝔸
          '393': 𝔹
          '394': 𝔻
          '395': 𝔼
          '396': 𝔽
          '397': 𝔾
          '398': 𝕀
          '399': 𝕁
          '400': 𝕂
          '401': 𝕃
          '402': 𝕄
          '403': 𝕆
          '404': 𝕊
          '405': 𝕋
          '406': 𝕌
          '407': 𝕍
          '408': 𝕎
          '409': 𝕏
          '410': 𝕐
          '411': 🜨
  - name: strokes
    large_list:
      large_list:
        list: float32
  - name: source
    dtype: string
  splits:
  - name: train
    num_bytes: 226957986
    num_examples: 126926
  - name: test
    num_bytes: 28418312
    num_examples: 15869
  - name: val
    num_bytes: 27987581
    num_examples: 15664
  download_size: 196202009
  dataset_size: 283363879
- config_name: raw
  features:
  - name: latex_label
    dtype: string
  - name: symbol
    list:
      list:
        list: float32
        length: 2
  - name: source
    dtype: string
  splits:
  - name: data
    num_bytes: 272423878
    num_examples: 216877
  download_size: 129534286
  dataset_size: 272423878
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: val
    path: data/val-*
- config_name: raw
  data_files:
  - split: data
    path: raw/data-*
---
# Training Datasets for Detypify

**Main Repository**: [detypify](https://github.com/QuarticCat/detypify)

This repo contains how to preprocess the raw dataset and the processed data for use with detypify.

The Samples are store in type `Strokes` shown below:
```python
type Point = tuple[float, float]
type Stroke = list[Point]
type Strokes = list[Strokes]
```

## To preprocess the data
First clone main repo, and follow the instructions below.

Do make sure the data is in the right path defined in `python/proc_data.py`'s constants.
Change the constants as you may want to.

Then, run `uv run --extra data python/proc_data.py` to preprocess the data.

## To get the needed raw dataset
### Detexify:

**Contains training dataset from detexify.**

Source: https://github.com/kirel/detexify-data

Download Link: https://drive.google.com/drive/folders/0ByuYordD0JBRWXUxRlhEMGtfVVE?resourcekey=0-rYksj_Cs11AMqko9p5swdg&usp=sharing

Look for `detexify.sql.gz` and `symbols.json`.

`detexify.json` obtained by

```bash
# TODO: Download detexify.sql.gz.
gunzip -c detexify.sql.gz | psql detypify
psql detypify -qAtXc 'SELECT json_agg(json_build_array(key, strokes)) FROM samples' -o detexify.json
rm detexify.sql.gz

# moving data into `build/raw_data`
mv symbols.json build/raw_data/detexify
mv detexify.json build/raw_data/detexify
```

### MathWriting 2024

Description: https://github.com/google-research/google-research/tree/master/mathwriting

Download Link: https://storage.googleapis.com/mathwriting_data/mathwriting-2024.tgz

**Contains extracted data from math MathWriting dataset**
```bash
# only symbols folder are needed
tar xzvf mathwriting-2024.tgz mathwriting-2024/symbols
mv mathwriting-2024/symbols build/raw_data/mathwriting
```