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"""Optdigits Dataset""" |
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from typing import List |
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from functools import partial |
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import datasets |
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import pandas |
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VERSION = datasets.Version("1.0.0") |
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_ENCODING_DICS = {} |
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_BASE_FEATURE_NAMES = [ |
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"att1", |
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"att2", |
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"att3", |
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"att4", |
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"att5", |
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"att6", |
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"att7", |
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"att8", |
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"att9", |
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"att10", |
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"att11", |
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"att12", |
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"att13", |
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"att14", |
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"att15", |
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"att16", |
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"att17", |
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"att18", |
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"att19", |
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"att20", |
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"att21", |
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"att22", |
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"att23", |
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"att24", |
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"att25", |
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"att26", |
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"att27", |
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"att28", |
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"att29", |
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"att30", |
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"att31", |
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"att32", |
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"att33", |
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"att34", |
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"att35", |
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"att36", |
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"att37", |
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"att38", |
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"att39", |
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"att40", |
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"att41", |
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"att42", |
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"att43", |
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"att44", |
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"att45", |
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"att46", |
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"att47", |
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"att48", |
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"att49", |
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"att50", |
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"att51", |
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"att52", |
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"att53", |
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"att54", |
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"att55", |
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"att56", |
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"att57", |
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"att58", |
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"att59", |
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"att60", |
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"att61", |
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"att62", |
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"att63", |
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"att64", |
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"class", |
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] |
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DESCRIPTION = "Optdigits dataset." |
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_HOMEPAGE = "https://archive-beta.ics.uci.edu/dataset/80/optical+recognition+of+handwritten+digits" |
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_URLS = ("https://archive-beta.ics.uci.edu/dataset/80/optical+recognition+of+handwritten+digits") |
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_CITATION = """ |
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@misc{misc_optical_recognition_of_handwritten_digits_80, |
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author = {Alpaydin,E. & Kaynak,C.}, |
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title = {{Optical Recognition of Handwritten Digits}}, |
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year = {1998}, |
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howpublished = {UCI Machine Learning Repository}, |
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note = {{DOI}: \\url{10.24432/C50P49}} |
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} |
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""" |
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urls_per_split = { |
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"train": "https://huggingface.co/datasets/mstz/optdigits/resolve/main/optdigits.data" |
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} |
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features_types_per_config = { |
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"optdigits": { |
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"att1": datasets.Value("int64"), |
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"att2": datasets.Value("int64"), |
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"att3": datasets.Value("int64"), |
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"att4": datasets.Value("int64"), |
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"att5": datasets.Value("int64"), |
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"att6": datasets.Value("int64"), |
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"att7": datasets.Value("int64"), |
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"att8": datasets.Value("int64"), |
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"att9": datasets.Value("int64"), |
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"att10": datasets.Value("int64"), |
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"att11": datasets.Value("int64"), |
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"att12": datasets.Value("int64"), |
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"att13": datasets.Value("int64"), |
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"att14": datasets.Value("int64"), |
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"att15": datasets.Value("int64"), |
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"att16": datasets.Value("int64"), |
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"att17": datasets.Value("int64"), |
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"att18": datasets.Value("int64"), |
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"att19": datasets.Value("int64"), |
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"att20": datasets.Value("int64"), |
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"att21": datasets.Value("int64"), |
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"att22": datasets.Value("int64"), |
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"att23": datasets.Value("int64"), |
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"att24": datasets.Value("int64"), |
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"att25": datasets.Value("int64"), |
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"att26": datasets.Value("int64"), |
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"att27": datasets.Value("int64"), |
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"att28": datasets.Value("int64"), |
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"att29": datasets.Value("int64"), |
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"att30": datasets.Value("int64"), |
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"att31": datasets.Value("int64"), |
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"att32": datasets.Value("int64"), |
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"att33": datasets.Value("int64"), |
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"att34": datasets.Value("int64"), |
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"att35": datasets.Value("int64"), |
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"att36": datasets.Value("int64"), |
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"att37": datasets.Value("int64"), |
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"att38": datasets.Value("int64"), |
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"att39": datasets.Value("int64"), |
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"att40": datasets.Value("int64"), |
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"att41": datasets.Value("int64"), |
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"att42": datasets.Value("int64"), |
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"att43": datasets.Value("int64"), |
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"att44": datasets.Value("int64"), |
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"att45": datasets.Value("int64"), |
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"att46": datasets.Value("int64"), |
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"att47": datasets.Value("int64"), |
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"att48": datasets.Value("int64"), |
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"att49": datasets.Value("int64"), |
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"att50": datasets.Value("int64"), |
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"att51": datasets.Value("int64"), |
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"att52": datasets.Value("int64"), |
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"att53": datasets.Value("int64"), |
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"att54": datasets.Value("int64"), |
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"att55": datasets.Value("int64"), |
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"att56": datasets.Value("int64"), |
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"att57": datasets.Value("int64"), |
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"att58": datasets.Value("int64"), |
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"att59": datasets.Value("int64"), |
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"att60": datasets.Value("int64"), |
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"att61": datasets.Value("int64"), |
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"att62": datasets.Value("int64"), |
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"att63": datasets.Value("int64"), |
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"att64": datasets.Value("int64"), |
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"class": datasets.ClassLabel(num_classes=10) |
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} |
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} |
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for i in range(10): |
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features_types_per_config[str(i)] = { |
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"att1": datasets.Value("int64"), |
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"att2": datasets.Value("int64"), |
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"att3": datasets.Value("int64"), |
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"att4": datasets.Value("int64"), |
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"att5": datasets.Value("int64"), |
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"att6": datasets.Value("int64"), |
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"att7": datasets.Value("int64"), |
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"att8": datasets.Value("int64"), |
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"att9": datasets.Value("int64"), |
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"att10": datasets.Value("int64"), |
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"att11": datasets.Value("int64"), |
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"att12": datasets.Value("int64"), |
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"att13": datasets.Value("int64"), |
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"att14": datasets.Value("int64"), |
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"att15": datasets.Value("int64"), |
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"att16": datasets.Value("int64"), |
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"att17": datasets.Value("int64"), |
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"att18": datasets.Value("int64"), |
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"att19": datasets.Value("int64"), |
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"att20": datasets.Value("int64"), |
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"att21": datasets.Value("int64"), |
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"att22": datasets.Value("int64"), |
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"att23": datasets.Value("int64"), |
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"att24": datasets.Value("int64"), |
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"att25": datasets.Value("int64"), |
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"att26": datasets.Value("int64"), |
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"att27": datasets.Value("int64"), |
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"att28": datasets.Value("int64"), |
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"att29": datasets.Value("int64"), |
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"att30": datasets.Value("int64"), |
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"att31": datasets.Value("int64"), |
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"att32": datasets.Value("int64"), |
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"att33": datasets.Value("int64"), |
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"att34": datasets.Value("int64"), |
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"att35": datasets.Value("int64"), |
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"att36": datasets.Value("int64"), |
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"att37": datasets.Value("int64"), |
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"att38": datasets.Value("int64"), |
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"att39": datasets.Value("int64"), |
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"att40": datasets.Value("int64"), |
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"att41": datasets.Value("int64"), |
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"att42": datasets.Value("int64"), |
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"att43": datasets.Value("int64"), |
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"att44": datasets.Value("int64"), |
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"att45": datasets.Value("int64"), |
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"att46": datasets.Value("int64"), |
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"att47": datasets.Value("int64"), |
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"att48": datasets.Value("int64"), |
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"att49": datasets.Value("int64"), |
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"att50": datasets.Value("int64"), |
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"att51": datasets.Value("int64"), |
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"att52": datasets.Value("int64"), |
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"att53": datasets.Value("int64"), |
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"att54": datasets.Value("int64"), |
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"att55": datasets.Value("int64"), |
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"att56": datasets.Value("int64"), |
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"att57": datasets.Value("int64"), |
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"att58": datasets.Value("int64"), |
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"att59": datasets.Value("int64"), |
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"att60": datasets.Value("int64"), |
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"att61": datasets.Value("int64"), |
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"att62": datasets.Value("int64"), |
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"att63": datasets.Value("int64"), |
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"att64": datasets.Value("int64"), |
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"class": datasets.ClassLabel(num_classes=2) |
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} |
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features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config} |
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class OptdigitsConfig(datasets.BuilderConfig): |
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def __init__(self, **kwargs): |
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super(OptdigitsConfig, self).__init__(version=VERSION, **kwargs) |
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self.features = features_per_config[kwargs["name"]] |
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class Optdigits(datasets.GeneratorBasedBuilder): |
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DEFAULT_CONFIG = "optdigits" |
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BUILDER_CONFIGS = [ |
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OptdigitsConfig(name="optdigits", description="Optdigits for multiclass classification."), |
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OptdigitsConfig(name="0", description="Optdigits for binary classification: is this a 0?."), |
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OptdigitsConfig(name="1", description="Optdigits for binary classification: is this a 1?."), |
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OptdigitsConfig(name="2", description="Optdigits for binary classification: is this a 2?."), |
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OptdigitsConfig(name="3", description="Optdigits for binary classification: is this a 3?."), |
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OptdigitsConfig(name="4", description="Optdigits for binary classification: is this a 4?."), |
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OptdigitsConfig(name="5", description="Optdigits for binary classification: is this a 5?."), |
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OptdigitsConfig(name="6", description="Optdigits for binary classification: is this a 6?."), |
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OptdigitsConfig(name="7", description="Optdigits for binary classification: is this a 7?."), |
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OptdigitsConfig(name="8", description="Optdigits for binary classification: is this a 8?."), |
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OptdigitsConfig(name="9", description="Optdigits for binary classification: is this a 9?.") |
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] |
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def _info(self): |
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info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE, |
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features=features_per_config[self.config.name]) |
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return info |
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]: |
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downloads = dl_manager.download_and_extract(urls_per_split) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]}), |
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] |
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def _generate_examples(self, filepath: str): |
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data = pandas.read_csv(filepath, header=None) |
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data.columns = _BASE_FEATURE_NAMES |
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data = self.preprocess(data) |
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for row_id, row in data.iterrows(): |
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data_row = dict(row) |
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yield row_id, data_row |
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def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame: |
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for feature in _ENCODING_DICS: |
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encoding_function = partial(self.encode, feature) |
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data.loc[:, feature] = data[feature].apply(encoding_function) |
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if self.config.name == "0": |
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data["class"] = data["class"].apply(lambda x: 1 if x == 0 else 0) |
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if self.config.name == "1": |
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data["class"] = data["class"].apply(lambda x: 1 if x == 1 else 0) |
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if self.config.name == "2": |
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data["class"] = data["class"].apply(lambda x: 1 if x == 2 else 0) |
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if self.config.name == "3": |
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data["class"] = data["class"].apply(lambda x: 1 if x == 3 else 0) |
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if self.config.name == "4": |
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data["class"] = data["class"].apply(lambda x: 1 if x == 4 else 0) |
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if self.config.name == "5": |
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data["class"] = data["class"].apply(lambda x: 1 if x == 5 else 0) |
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if self.config.name == "6": |
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data["class"] = data["class"].apply(lambda x: 1 if x == 6 else 0) |
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if self.config.name == "7": |
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data["class"] = data["class"].apply(lambda x: 1 if x == 7 else 0) |
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if self.config.name == "8": |
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data["class"] = data["class"].apply(lambda x: 1 if x == 8 else 0) |
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if self.config.name == "9": |
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data["class"] = data["class"].apply(lambda x: 1 if x == 9 else 0) |
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return data[list(features_types_per_config[self.config.name].keys())] |
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def encode(self, feature, value): |
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if feature in _ENCODING_DICS: |
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return _ENCODING_DICS[feature][value] |
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raise ValueError(f"Unknown feature: {feature}") |
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