| --- |
| 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 |
| ``` |
|
|
