lrs / lrs.py
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Upload lrs.py
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from typing import List
import datasets
import pandas
VERSION = datasets.Version("1.0.0")
DESCRIPTION = "Lrs efficiency dataset from the UCI repository."
_HOMEPAGE = "https://archive-beta.ics.uci.edu/dataset/93/low+resolution+spectrometer"
_URLS = ("https://archive-beta.ics.uci.edu/dataset/93/low+resolution+spectrometer")
_CITATION = """
@misc{misc_lrs_53,
author = {Fisher,R. A. & Fisher,R.A.},
title = {{Lrs}},
year = {1988},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \\url{10.24432/C56C76}}
}"""
# Dataset info
urls_per_split = {
"train": "https://huggingface.co/datasets/mstz/lrs/raw/main/lrs.csv"
}
features_types_per_config = {
"lrs": {
"right_ascension": datasets.Value("float64"),
"declination": datasets.Value("float64"),
"scale_factor": datasets.Value("float64"),
"blue_base_1": datasets.Value("int64"),
"blue_base_2": datasets.Value("int64"),
"red_base_1": datasets.Value("int64"),
"red_base_2": datasets.Value("int64"),
"blue_base_2": datasets.Value("float64"),
"red_base_1": datasets.Value("float64"),
"red_base_2": datasets.Value("float64"),
"flux_blue_0": datasets.Value("float64"),
"flux_blue_1": datasets.Value("float64"),
"flux_blue_2": datasets.Value("float64"),
"flux_blue_3": datasets.Value("float64"),
"flux_blue_4": datasets.Value("float64"),
"flux_blue_5": datasets.Value("float64"),
"flux_blue_6": datasets.Value("float64"),
"flux_blue_7": datasets.Value("float64"),
"flux_blue_8": datasets.Value("float64"),
"flux_blue_9": datasets.Value("float64"),
"flux_blue_10": datasets.Value("float64"),
"flux_blue_11": datasets.Value("float64"),
"flux_blue_12": datasets.Value("float64"),
"flux_blue_13": datasets.Value("float64"),
"flux_blue_14": datasets.Value("float64"),
"flux_blue_15": datasets.Value("float64"),
"flux_blue_16": datasets.Value("float64"),
"flux_blue_17": datasets.Value("float64"),
"flux_blue_18": datasets.Value("float64"),
"flux_blue_19": datasets.Value("float64"),
"flux_blue_20": datasets.Value("float64"),
"flux_blue_21": datasets.Value("float64"),
"flux_blue_22": datasets.Value("float64"),
"flux_blue_23": datasets.Value("float64"),
"flux_blue_24": datasets.Value("float64"),
"flux_blue_25": datasets.Value("float64"),
"flux_blue_26": datasets.Value("float64"),
"flux_blue_27": datasets.Value("float64"),
"flux_blue_28": datasets.Value("float64"),
"flux_blue_29": datasets.Value("float64"),
"flux_blue_30": datasets.Value("float64"),
"flux_blue_31": datasets.Value("float64"),
"flux_blue_32": datasets.Value("float64"),
"flux_blue_33": datasets.Value("float64"),
"flux_blue_34": datasets.Value("float64"),
"flux_blue_35": datasets.Value("float64"),
"flux_blue_36": datasets.Value("float64"),
"flux_blue_37": datasets.Value("float64"),
"flux_blue_38": datasets.Value("float64"),
"flux_blue_39": datasets.Value("float64"),
"flux_blue_40": datasets.Value("float64"),
"flux_blue_41": datasets.Value("float64"),
"flux_blue_42": datasets.Value("float64"),
"flux_blue_43": datasets.Value("float64"),
"flux_red_0": datasets.Value("float64"),
"flux_red_1": datasets.Value("float64"),
"flux_red_2": datasets.Value("float64"),
"flux_red_3": datasets.Value("float64"),
"flux_red_4": datasets.Value("float64"),
"flux_red_5": datasets.Value("float64"),
"flux_red_6": datasets.Value("float64"),
"flux_red_7": datasets.Value("float64"),
"flux_red_8": datasets.Value("float64"),
"flux_red_9": datasets.Value("float64"),
"flux_red_10": datasets.Value("float64"),
"flux_red_11": datasets.Value("float64"),
"flux_red_12": datasets.Value("float64"),
"flux_red_13": datasets.Value("float64"),
"flux_red_14": datasets.Value("float64"),
"flux_red_15": datasets.Value("float64"),
"flux_red_16": datasets.Value("float64"),
"flux_red_17": datasets.Value("float64"),
"flux_red_18": datasets.Value("float64"),
"flux_red_19": datasets.Value("float64"),
"flux_red_20": datasets.Value("float64"),
"flux_red_21": datasets.Value("float64"),
"flux_red_22": datasets.Value("float64"),
"flux_red_23": datasets.Value("float64"),
"flux_red_24": datasets.Value("float64"),
"flux_red_25": datasets.Value("float64"),
"flux_red_26": datasets.Value("float64"),
"flux_red_27": datasets.Value("float64"),
"flux_red_28": datasets.Value("float64"),
"flux_red_29": datasets.Value("float64"),
"flux_red_30": datasets.Value("float64"),
"flux_red_31": datasets.Value("float64"),
"flux_red_32": datasets.Value("float64"),
"flux_red_33": datasets.Value("float64"),
"flux_red_34": datasets.Value("float64"),
"flux_red_35": datasets.Value("float64"),
"flux_red_36": datasets.Value("float64"),
"flux_red_37": datasets.Value("float64"),
"flux_red_38": datasets.Value("float64"),
"flux_red_39": datasets.Value("float64"),
"flux_red_40": datasets.Value("float64"),
"flux_red_41": datasets.Value("float64"),
"flux_red_42": datasets.Value("float64"),
"flux_red_43": datasets.Value("float64"),
"flux_red_44": datasets.Value("float64"),
"flux_red_45": datasets.Value("float64"),
"flux_red_46": datasets.Value("float64"),
"flux_red_47": datasets.Value("float64"),
"flux_red_48": datasets.Value("float64"),
"lrs_class": datasets.ClassLabel(num_classes=9)
},
"lrs_0": {
"right_ascension": datasets.Value("float64"),
"declination": datasets.Value("float64"),
"scale_factor": datasets.Value("float64"),
"blue_base_1": datasets.Value("int64"),
"blue_base_2": datasets.Value("int64"),
"red_base_1": datasets.Value("int64"),
"red_base_2": datasets.Value("int64"),
"blue_base_2": datasets.Value("float64"),
"red_base_1": datasets.Value("float64"),
"red_base_2": datasets.Value("float64"),
"flux_blue_0": datasets.Value("float64"),
"flux_blue_1": datasets.Value("float64"),
"flux_blue_2": datasets.Value("float64"),
"flux_blue_3": datasets.Value("float64"),
"flux_blue_4": datasets.Value("float64"),
"flux_blue_5": datasets.Value("float64"),
"flux_blue_6": datasets.Value("float64"),
"flux_blue_7": datasets.Value("float64"),
"flux_blue_8": datasets.Value("float64"),
"flux_blue_9": datasets.Value("float64"),
"flux_blue_10": datasets.Value("float64"),
"flux_blue_11": datasets.Value("float64"),
"flux_blue_12": datasets.Value("float64"),
"flux_blue_13": datasets.Value("float64"),
"flux_blue_14": datasets.Value("float64"),
"flux_blue_15": datasets.Value("float64"),
"flux_blue_16": datasets.Value("float64"),
"flux_blue_17": datasets.Value("float64"),
"flux_blue_18": datasets.Value("float64"),
"flux_blue_19": datasets.Value("float64"),
"flux_blue_20": datasets.Value("float64"),
"flux_blue_21": datasets.Value("float64"),
"flux_blue_22": datasets.Value("float64"),
"flux_blue_23": datasets.Value("float64"),
"flux_blue_24": datasets.Value("float64"),
"flux_blue_25": datasets.Value("float64"),
"flux_blue_26": datasets.Value("float64"),
"flux_blue_27": datasets.Value("float64"),
"flux_blue_28": datasets.Value("float64"),
"flux_blue_29": datasets.Value("float64"),
"flux_blue_30": datasets.Value("float64"),
"flux_blue_31": datasets.Value("float64"),
"flux_blue_32": datasets.Value("float64"),
"flux_blue_33": datasets.Value("float64"),
"flux_blue_34": datasets.Value("float64"),
"flux_blue_35": datasets.Value("float64"),
"flux_blue_36": datasets.Value("float64"),
"flux_blue_37": datasets.Value("float64"),
"flux_blue_38": datasets.Value("float64"),
"flux_blue_39": datasets.Value("float64"),
"flux_blue_40": datasets.Value("float64"),
"flux_blue_41": datasets.Value("float64"),
"flux_blue_42": datasets.Value("float64"),
"flux_blue_43": datasets.Value("float64"),
"flux_red_0": datasets.Value("float64"),
"flux_red_1": datasets.Value("float64"),
"flux_red_2": datasets.Value("float64"),
"flux_red_3": datasets.Value("float64"),
"flux_red_4": datasets.Value("float64"),
"flux_red_5": datasets.Value("float64"),
"flux_red_6": datasets.Value("float64"),
"flux_red_7": datasets.Value("float64"),
"flux_red_8": datasets.Value("float64"),
"flux_red_9": datasets.Value("float64"),
"flux_red_10": datasets.Value("float64"),
"flux_red_11": datasets.Value("float64"),
"flux_red_12": datasets.Value("float64"),
"flux_red_13": datasets.Value("float64"),
"flux_red_14": datasets.Value("float64"),
"flux_red_15": datasets.Value("float64"),
"flux_red_16": datasets.Value("float64"),
"flux_red_17": datasets.Value("float64"),
"flux_red_18": datasets.Value("float64"),
"flux_red_19": datasets.Value("float64"),
"flux_red_20": datasets.Value("float64"),
"flux_red_21": datasets.Value("float64"),
"flux_red_22": datasets.Value("float64"),
"flux_red_23": datasets.Value("float64"),
"flux_red_24": datasets.Value("float64"),
"flux_red_25": datasets.Value("float64"),
"flux_red_26": datasets.Value("float64"),
"flux_red_27": datasets.Value("float64"),
"flux_red_28": datasets.Value("float64"),
"flux_red_29": datasets.Value("float64"),
"flux_red_30": datasets.Value("float64"),
"flux_red_31": datasets.Value("float64"),
"flux_red_32": datasets.Value("float64"),
"flux_red_33": datasets.Value("float64"),
"flux_red_34": datasets.Value("float64"),
"flux_red_35": datasets.Value("float64"),
"flux_red_36": datasets.Value("float64"),
"flux_red_37": datasets.Value("float64"),
"flux_red_38": datasets.Value("float64"),
"flux_red_39": datasets.Value("float64"),
"flux_red_40": datasets.Value("float64"),
"flux_red_41": datasets.Value("float64"),
"flux_red_42": datasets.Value("float64"),
"flux_red_43": datasets.Value("float64"),
"flux_red_44": datasets.Value("float64"),
"flux_red_45": datasets.Value("float64"),
"flux_red_46": datasets.Value("float64"),
"flux_red_47": datasets.Value("float64"),
"flux_red_48": datasets.Value("float64"),
"lrs_class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
},
"lrs_1": {
"right_ascension": datasets.Value("float64"),
"declination": datasets.Value("float64"),
"scale_factor": datasets.Value("float64"),
"blue_base_1": datasets.Value("int64"),
"blue_base_2": datasets.Value("int64"),
"red_base_1": datasets.Value("int64"),
"red_base_2": datasets.Value("int64"),
"blue_base_2": datasets.Value("float64"),
"red_base_1": datasets.Value("float64"),
"red_base_2": datasets.Value("float64"),
"flux_blue_0": datasets.Value("float64"),
"flux_blue_1": datasets.Value("float64"),
"flux_blue_2": datasets.Value("float64"),
"flux_blue_3": datasets.Value("float64"),
"flux_blue_4": datasets.Value("float64"),
"flux_blue_5": datasets.Value("float64"),
"flux_blue_6": datasets.Value("float64"),
"flux_blue_7": datasets.Value("float64"),
"flux_blue_8": datasets.Value("float64"),
"flux_blue_9": datasets.Value("float64"),
"flux_blue_10": datasets.Value("float64"),
"flux_blue_11": datasets.Value("float64"),
"flux_blue_12": datasets.Value("float64"),
"flux_blue_13": datasets.Value("float64"),
"flux_blue_14": datasets.Value("float64"),
"flux_blue_15": datasets.Value("float64"),
"flux_blue_16": datasets.Value("float64"),
"flux_blue_17": datasets.Value("float64"),
"flux_blue_18": datasets.Value("float64"),
"flux_blue_19": datasets.Value("float64"),
"flux_blue_20": datasets.Value("float64"),
"flux_blue_21": datasets.Value("float64"),
"flux_blue_22": datasets.Value("float64"),
"flux_blue_23": datasets.Value("float64"),
"flux_blue_24": datasets.Value("float64"),
"flux_blue_25": datasets.Value("float64"),
"flux_blue_26": datasets.Value("float64"),
"flux_blue_27": datasets.Value("float64"),
"flux_blue_28": datasets.Value("float64"),
"flux_blue_29": datasets.Value("float64"),
"flux_blue_30": datasets.Value("float64"),
"flux_blue_31": datasets.Value("float64"),
"flux_blue_32": datasets.Value("float64"),
"flux_blue_33": datasets.Value("float64"),
"flux_blue_34": datasets.Value("float64"),
"flux_blue_35": datasets.Value("float64"),
"flux_blue_36": datasets.Value("float64"),
"flux_blue_37": datasets.Value("float64"),
"flux_blue_38": datasets.Value("float64"),
"flux_blue_39": datasets.Value("float64"),
"flux_blue_40": datasets.Value("float64"),
"flux_blue_41": datasets.Value("float64"),
"flux_blue_42": datasets.Value("float64"),
"flux_blue_43": datasets.Value("float64"),
"flux_red_0": datasets.Value("float64"),
"flux_red_1": datasets.Value("float64"),
"flux_red_2": datasets.Value("float64"),
"flux_red_3": datasets.Value("float64"),
"flux_red_4": datasets.Value("float64"),
"flux_red_5": datasets.Value("float64"),
"flux_red_6": datasets.Value("float64"),
"flux_red_7": datasets.Value("float64"),
"flux_red_8": datasets.Value("float64"),
"flux_red_9": datasets.Value("float64"),
"flux_red_10": datasets.Value("float64"),
"flux_red_11": datasets.Value("float64"),
"flux_red_12": datasets.Value("float64"),
"flux_red_13": datasets.Value("float64"),
"flux_red_14": datasets.Value("float64"),
"flux_red_15": datasets.Value("float64"),
"flux_red_16": datasets.Value("float64"),
"flux_red_17": datasets.Value("float64"),
"flux_red_18": datasets.Value("float64"),
"flux_red_19": datasets.Value("float64"),
"flux_red_20": datasets.Value("float64"),
"flux_red_21": datasets.Value("float64"),
"flux_red_22": datasets.Value("float64"),
"flux_red_23": datasets.Value("float64"),
"flux_red_24": datasets.Value("float64"),
"flux_red_25": datasets.Value("float64"),
"flux_red_26": datasets.Value("float64"),
"flux_red_27": datasets.Value("float64"),
"flux_red_28": datasets.Value("float64"),
"flux_red_29": datasets.Value("float64"),
"flux_red_30": datasets.Value("float64"),
"flux_red_31": datasets.Value("float64"),
"flux_red_32": datasets.Value("float64"),
"flux_red_33": datasets.Value("float64"),
"flux_red_34": datasets.Value("float64"),
"flux_red_35": datasets.Value("float64"),
"flux_red_36": datasets.Value("float64"),
"flux_red_37": datasets.Value("float64"),
"flux_red_38": datasets.Value("float64"),
"flux_red_39": datasets.Value("float64"),
"flux_red_40": datasets.Value("float64"),
"flux_red_41": datasets.Value("float64"),
"flux_red_42": datasets.Value("float64"),
"flux_red_43": datasets.Value("float64"),
"flux_red_44": datasets.Value("float64"),
"flux_red_45": datasets.Value("float64"),
"flux_red_46": datasets.Value("float64"),
"flux_red_47": datasets.Value("float64"),
"flux_red_48": datasets.Value("float64"),
"lrs_class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
},
"lrs_2": {
"right_ascension": datasets.Value("float64"),
"declination": datasets.Value("float64"),
"scale_factor": datasets.Value("float64"),
"blue_base_1": datasets.Value("int64"),
"blue_base_2": datasets.Value("int64"),
"red_base_1": datasets.Value("int64"),
"red_base_2": datasets.Value("int64"),
"blue_base_2": datasets.Value("float64"),
"red_base_1": datasets.Value("float64"),
"red_base_2": datasets.Value("float64"),
"flux_blue_0": datasets.Value("float64"),
"flux_blue_1": datasets.Value("float64"),
"flux_blue_2": datasets.Value("float64"),
"flux_blue_3": datasets.Value("float64"),
"flux_blue_4": datasets.Value("float64"),
"flux_blue_5": datasets.Value("float64"),
"flux_blue_6": datasets.Value("float64"),
"flux_blue_7": datasets.Value("float64"),
"flux_blue_8": datasets.Value("float64"),
"flux_blue_9": datasets.Value("float64"),
"flux_blue_10": datasets.Value("float64"),
"flux_blue_11": datasets.Value("float64"),
"flux_blue_12": datasets.Value("float64"),
"flux_blue_13": datasets.Value("float64"),
"flux_blue_14": datasets.Value("float64"),
"flux_blue_15": datasets.Value("float64"),
"flux_blue_16": datasets.Value("float64"),
"flux_blue_17": datasets.Value("float64"),
"flux_blue_18": datasets.Value("float64"),
"flux_blue_19": datasets.Value("float64"),
"flux_blue_20": datasets.Value("float64"),
"flux_blue_21": datasets.Value("float64"),
"flux_blue_22": datasets.Value("float64"),
"flux_blue_23": datasets.Value("float64"),
"flux_blue_24": datasets.Value("float64"),
"flux_blue_25": datasets.Value("float64"),
"flux_blue_26": datasets.Value("float64"),
"flux_blue_27": datasets.Value("float64"),
"flux_blue_28": datasets.Value("float64"),
"flux_blue_29": datasets.Value("float64"),
"flux_blue_30": datasets.Value("float64"),
"flux_blue_31": datasets.Value("float64"),
"flux_blue_32": datasets.Value("float64"),
"flux_blue_33": datasets.Value("float64"),
"flux_blue_34": datasets.Value("float64"),
"flux_blue_35": datasets.Value("float64"),
"flux_blue_36": datasets.Value("float64"),
"flux_blue_37": datasets.Value("float64"),
"flux_blue_38": datasets.Value("float64"),
"flux_blue_39": datasets.Value("float64"),
"flux_blue_40": datasets.Value("float64"),
"flux_blue_41": datasets.Value("float64"),
"flux_blue_42": datasets.Value("float64"),
"flux_blue_43": datasets.Value("float64"),
"flux_red_0": datasets.Value("float64"),
"flux_red_1": datasets.Value("float64"),
"flux_red_2": datasets.Value("float64"),
"flux_red_3": datasets.Value("float64"),
"flux_red_4": datasets.Value("float64"),
"flux_red_5": datasets.Value("float64"),
"flux_red_6": datasets.Value("float64"),
"flux_red_7": datasets.Value("float64"),
"flux_red_8": datasets.Value("float64"),
"flux_red_9": datasets.Value("float64"),
"flux_red_10": datasets.Value("float64"),
"flux_red_11": datasets.Value("float64"),
"flux_red_12": datasets.Value("float64"),
"flux_red_13": datasets.Value("float64"),
"flux_red_14": datasets.Value("float64"),
"flux_red_15": datasets.Value("float64"),
"flux_red_16": datasets.Value("float64"),
"flux_red_17": datasets.Value("float64"),
"flux_red_18": datasets.Value("float64"),
"flux_red_19": datasets.Value("float64"),
"flux_red_20": datasets.Value("float64"),
"flux_red_21": datasets.Value("float64"),
"flux_red_22": datasets.Value("float64"),
"flux_red_23": datasets.Value("float64"),
"flux_red_24": datasets.Value("float64"),
"flux_red_25": datasets.Value("float64"),
"flux_red_26": datasets.Value("float64"),
"flux_red_27": datasets.Value("float64"),
"flux_red_28": datasets.Value("float64"),
"flux_red_29": datasets.Value("float64"),
"flux_red_30": datasets.Value("float64"),
"flux_red_31": datasets.Value("float64"),
"flux_red_32": datasets.Value("float64"),
"flux_red_33": datasets.Value("float64"),
"flux_red_34": datasets.Value("float64"),
"flux_red_35": datasets.Value("float64"),
"flux_red_36": datasets.Value("float64"),
"flux_red_37": datasets.Value("float64"),
"flux_red_38": datasets.Value("float64"),
"flux_red_39": datasets.Value("float64"),
"flux_red_40": datasets.Value("float64"),
"flux_red_41": datasets.Value("float64"),
"flux_red_42": datasets.Value("float64"),
"flux_red_43": datasets.Value("float64"),
"flux_red_44": datasets.Value("float64"),
"flux_red_45": datasets.Value("float64"),
"flux_red_46": datasets.Value("float64"),
"flux_red_47": datasets.Value("float64"),
"flux_red_48": datasets.Value("float64"),
"lrs_class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
},
"lrs_3": {
"right_ascension": datasets.Value("float64"),
"declination": datasets.Value("float64"),
"scale_factor": datasets.Value("float64"),
"blue_base_1": datasets.Value("int64"),
"blue_base_2": datasets.Value("int64"),
"red_base_1": datasets.Value("int64"),
"red_base_2": datasets.Value("int64"),
"blue_base_2": datasets.Value("float64"),
"red_base_1": datasets.Value("float64"),
"red_base_2": datasets.Value("float64"),
"flux_blue_0": datasets.Value("float64"),
"flux_blue_1": datasets.Value("float64"),
"flux_blue_2": datasets.Value("float64"),
"flux_blue_3": datasets.Value("float64"),
"flux_blue_4": datasets.Value("float64"),
"flux_blue_5": datasets.Value("float64"),
"flux_blue_6": datasets.Value("float64"),
"flux_blue_7": datasets.Value("float64"),
"flux_blue_8": datasets.Value("float64"),
"flux_blue_9": datasets.Value("float64"),
"flux_blue_10": datasets.Value("float64"),
"flux_blue_11": datasets.Value("float64"),
"flux_blue_12": datasets.Value("float64"),
"flux_blue_13": datasets.Value("float64"),
"flux_blue_14": datasets.Value("float64"),
"flux_blue_15": datasets.Value("float64"),
"flux_blue_16": datasets.Value("float64"),
"flux_blue_17": datasets.Value("float64"),
"flux_blue_18": datasets.Value("float64"),
"flux_blue_19": datasets.Value("float64"),
"flux_blue_20": datasets.Value("float64"),
"flux_blue_21": datasets.Value("float64"),
"flux_blue_22": datasets.Value("float64"),
"flux_blue_23": datasets.Value("float64"),
"flux_blue_24": datasets.Value("float64"),
"flux_blue_25": datasets.Value("float64"),
"flux_blue_26": datasets.Value("float64"),
"flux_blue_27": datasets.Value("float64"),
"flux_blue_28": datasets.Value("float64"),
"flux_blue_29": datasets.Value("float64"),
"flux_blue_30": datasets.Value("float64"),
"flux_blue_31": datasets.Value("float64"),
"flux_blue_32": datasets.Value("float64"),
"flux_blue_33": datasets.Value("float64"),
"flux_blue_34": datasets.Value("float64"),
"flux_blue_35": datasets.Value("float64"),
"flux_blue_36": datasets.Value("float64"),
"flux_blue_37": datasets.Value("float64"),
"flux_blue_38": datasets.Value("float64"),
"flux_blue_39": datasets.Value("float64"),
"flux_blue_40": datasets.Value("float64"),
"flux_blue_41": datasets.Value("float64"),
"flux_blue_42": datasets.Value("float64"),
"flux_blue_43": datasets.Value("float64"),
"flux_red_0": datasets.Value("float64"),
"flux_red_1": datasets.Value("float64"),
"flux_red_2": datasets.Value("float64"),
"flux_red_3": datasets.Value("float64"),
"flux_red_4": datasets.Value("float64"),
"flux_red_5": datasets.Value("float64"),
"flux_red_6": datasets.Value("float64"),
"flux_red_7": datasets.Value("float64"),
"flux_red_8": datasets.Value("float64"),
"flux_red_9": datasets.Value("float64"),
"flux_red_10": datasets.Value("float64"),
"flux_red_11": datasets.Value("float64"),
"flux_red_12": datasets.Value("float64"),
"flux_red_13": datasets.Value("float64"),
"flux_red_14": datasets.Value("float64"),
"flux_red_15": datasets.Value("float64"),
"flux_red_16": datasets.Value("float64"),
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"flux_red_1": datasets.Value("float64"),
"flux_red_2": datasets.Value("float64"),
"flux_red_3": datasets.Value("float64"),
"flux_red_4": datasets.Value("float64"),
"flux_red_5": datasets.Value("float64"),
"flux_red_6": datasets.Value("float64"),
"flux_red_7": datasets.Value("float64"),
"flux_red_8": datasets.Value("float64"),
"flux_red_9": datasets.Value("float64"),
"flux_red_10": datasets.Value("float64"),
"flux_red_11": datasets.Value("float64"),
"flux_red_12": datasets.Value("float64"),
"flux_red_13": datasets.Value("float64"),
"flux_red_14": datasets.Value("float64"),
"flux_red_15": datasets.Value("float64"),
"flux_red_16": datasets.Value("float64"),
"flux_red_17": datasets.Value("float64"),
"flux_red_18": datasets.Value("float64"),
"flux_red_19": datasets.Value("float64"),
"flux_red_20": datasets.Value("float64"),
"flux_red_21": datasets.Value("float64"),
"flux_red_22": datasets.Value("float64"),
"flux_red_23": datasets.Value("float64"),
"flux_red_24": datasets.Value("float64"),
"flux_red_25": datasets.Value("float64"),
"flux_red_26": datasets.Value("float64"),
"flux_red_27": datasets.Value("float64"),
"flux_red_28": datasets.Value("float64"),
"flux_red_29": datasets.Value("float64"),
"flux_red_30": datasets.Value("float64"),
"flux_red_31": datasets.Value("float64"),
"flux_red_32": datasets.Value("float64"),
"flux_red_33": datasets.Value("float64"),
"flux_red_34": datasets.Value("float64"),
"flux_red_35": datasets.Value("float64"),
"flux_red_36": datasets.Value("float64"),
"flux_red_37": datasets.Value("float64"),
"flux_red_38": datasets.Value("float64"),
"flux_red_39": datasets.Value("float64"),
"flux_red_40": datasets.Value("float64"),
"flux_red_41": datasets.Value("float64"),
"flux_red_42": datasets.Value("float64"),
"flux_red_43": datasets.Value("float64"),
"flux_red_44": datasets.Value("float64"),
"flux_red_45": datasets.Value("float64"),
"flux_red_46": datasets.Value("float64"),
"flux_red_47": datasets.Value("float64"),
"flux_red_48": datasets.Value("float64"),
"lrs_class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
},
}
features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
class LrsConfig(datasets.BuilderConfig):
def __init__(self, **kwargs):
super(LrsConfig, self).__init__(version=VERSION, **kwargs)
self.features = features_per_config[kwargs["name"]]
class Lrs(datasets.GeneratorBasedBuilder):
# dataset versions
DEFAULT_CONFIG = "lrs"
BUILDER_CONFIGS = [
LrsConfig(name="lrs", description="Lrs dataset."),
LrsConfig(name="lrs_0", description="Binary lrs_classification of lrs_class 0."),
LrsConfig(name="lrs_1", description="Binary lrs_classification of lrs_class 1."),
LrsConfig(name="lrs_2", description="Binary lrs_classification of lrs_class 2."),
LrsConfig(name="lrs_3", description="Binary lrs_classification of lrs_class 3."),
LrsConfig(name="lrs_4", description="Binary lrs_classification of lrs_class 4."),
LrsConfig(name="lrs_5", description="Binary lrs_classification of lrs_class 5."),
LrsConfig(name="lrs_6", description="Binary lrs_classification of lrs_class 6."),
LrsConfig(name="lrs_7", description="Binary lrs_classification of lrs_class 7."),
LrsConfig(name="lrs_8", description="Binary lrs_classification of lrs_class 8.")
]
def _info(self):
info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
features=features_per_config[self.config.name])
return info
def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
downloads = dl_manager.download_and_extract(urls_per_split)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]})
]
def _generate_examples(self, filepath: str):
data = pandas.read_csv(filepath)
data = self.preprocess(data)
for row_id, row in data.iterrows():
data_row = dict(row)
yield row_id, data_row
def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
data.drop("ID-type", axis="columns", inplace=True)
data = data[list(features_types_per_config["lrs"].keys())].infer_objects()
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: x if x < 10 else x // 10)
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: x - 1)
if self.config.name == "lrs_0":
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 0 else 0)
if self.config.name == "lrs_1":
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 1 else 0)
if self.config.name == "lrs_2":
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 2 else 0)
if self.config.name == "lrs_3":
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 3 else 0)
if self.config.name == "lrs_4":
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 4 else 0)
if self.config.name == "lrs_5":
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 5 else 0)
if self.config.name == "lrs_6":
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 6 else 0)
if self.config.name == "lrs_7":
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 7 else 0)
if self.config.name == "lrs_8":
data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 8 else 0)
return data