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Datasets:
mstz
/
lrs

Tasks:
Tabular Classification
Modalities:
Tabular
Languages:
English
Size:
1K - 10K
Tags:
lrs
tabular_classification
binary_classification
multiclass_classification
UCI
Libraries:
Datasets
License:
Dataset card Viewer Files Community
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  1. README.md +0 -53
  2. lrs.csv +0 -0
  3. lrs.py +0 -1170
  4. lrs/lrs-train.parquet +3 -0
  5. lrs_0/lrs-train.parquet +3 -0
  6. lrs_1/lrs-train.parquet +3 -0
  7. lrs_2/lrs-train.parquet +3 -0
  8. lrs_3/lrs-train.parquet +3 -0
  9. lrs_4/lrs-train.parquet +3 -0
  10. lrs_5/lrs-train.parquet +3 -0
  11. lrs_6/lrs-train.parquet +3 -0
  12. lrs_7/lrs-train.parquet +3 -0
  13. lrs_8/lrs-train.parquet +3 -0
README.md DELETED
@@ -1,53 +0,0 @@
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- ---
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- language:
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- - en
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- tags:
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- - lrs
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- - tabular_classification
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- - binary_classification
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- - multiclass_classification
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- pretty_name: Lrs
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- size_categories:
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- - n<1k
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- task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
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- - tabular-classification
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- configs:
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- - lrs
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- - lrs_0
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- - lrs_1
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- - lrs_2
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- - lrs_3
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- - lrs_4
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- - lrs_5
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- - lrs_6
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- - lrs_7
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- - lrs_8
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-
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-
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- ---
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- # Lrs
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- The [Lrs-Roth dataset](https://archive-beta.ics.uci.edu/dataset/93/low+resolution+spectrometer) from the [UCI repository](https://archive-beta.ics.uci.edu).
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-
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- # Configurations and tasks
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- | **Configuration** | **Task** | **Description** |
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- |-------------------|---------------------------|------------------------------|
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- | lrs | Multiclass classification | Classify lrs type. |
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- | lrs_0 | Binary classification | Is this instance of class 0? |
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- | lrs_1 | Binary classification | Is this instance of class 1? |
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- | lrs_2 | Binary classification | Is this instance of class 2? |
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- | lrs_3 | Binary classification | Is this instance of class 3? |
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- | lrs_4 | Binary classification | Is this instance of class 4? |
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- | lrs_5 | Binary classification | Is this instance of class 5? |
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- | lrs_6 | Binary classification | Is this instance of class 6? |
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- | lrs_7 | Binary classification | Is this instance of class 7? |
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- | lrs_8 | Binary classification | Is this instance of class 8? |
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-
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-
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-
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-
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- # Usage
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- ```python
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- from datasets import load_dataset
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-
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- dataset = load_dataset("mstz/lrs", "lrs")["train"]
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
lrs.csv DELETED
The diff for this file is too large to render. See raw diff
 
lrs.py DELETED
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- from typing import List
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-
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- import datasets
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-
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- import pandas
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-
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-
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- VERSION = datasets.Version("1.0.0")
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-
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-
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- DESCRIPTION = "Lrs efficiency dataset from the UCI repository."
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- _HOMEPAGE = "https://archive-beta.ics.uci.edu/dataset/93/low+resolution+spectrometer"
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- _URLS = ("https://archive-beta.ics.uci.edu/dataset/93/low+resolution+spectrometer")
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- _CITATION = """
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- @misc{misc_lrs_53,
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- author = {Fisher,R. A. & Fisher,R.A.},
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- title = {{Lrs}},
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- year = {1988},
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- howpublished = {UCI Machine Learning Repository},
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- note = {{DOI}: \\url{10.24432/C56C76}}
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- }"""
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-
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- # Dataset info
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- urls_per_split = {
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- "train": "https://huggingface.co/datasets/mstz/lrs/raw/main/lrs.csv"
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- }
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- features_types_per_config = {
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- "lrs": {
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- "right_ascension": datasets.Value("float64"),
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- "declination": datasets.Value("float64"),
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- "scale_factor": datasets.Value("float64"),
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- "blue_base_1": datasets.Value("int64"),
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- "blue_base_2": datasets.Value("int64"),
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- "red_base_1": datasets.Value("int64"),
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- "red_base_2": datasets.Value("int64"),
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- "blue_base_2": datasets.Value("float64"),
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- "red_base_1": datasets.Value("float64"),
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- "red_base_2": datasets.Value("float64"),
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- "flux_blue_0": datasets.Value("float64"),
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- "flux_blue_8": datasets.Value("float64"),
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- "flux_blue_9": datasets.Value("float64"),
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- "lrs_class": datasets.ClassLabel(num_classes=9)
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- },
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- "declination": datasets.Value("float64"),
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- "lrs_class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
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- },
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- "lrs_1": {
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- "right_ascension": datasets.Value("float64"),
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- "declination": datasets.Value("float64"),
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- "scale_factor": datasets.Value("float64"),
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- "blue_base_1": datasets.Value("int64"),
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- "flux_red_46": datasets.Value("float64"),
342
- "flux_red_47": datasets.Value("float64"),
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- "flux_red_48": datasets.Value("float64"),
344
- "lrs_class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
345
- },
346
- "lrs_2": {
347
- "right_ascension": datasets.Value("float64"),
348
- "declination": datasets.Value("float64"),
349
- "scale_factor": datasets.Value("float64"),
350
- "blue_base_1": datasets.Value("int64"),
351
- "blue_base_2": datasets.Value("int64"),
352
- "red_base_1": datasets.Value("int64"),
353
- "red_base_2": datasets.Value("int64"),
354
- "blue_base_2": datasets.Value("float64"),
355
- "red_base_1": datasets.Value("float64"),
356
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357
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- "flux_red_46": datasets.Value("float64"),
766
- "flux_red_47": datasets.Value("float64"),
767
- "flux_red_48": datasets.Value("float64"),
768
- "lrs_class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
769
- },
770
- "lrs_6": {
771
- "right_ascension": datasets.Value("float64"),
772
- "declination": datasets.Value("float64"),
773
- "scale_factor": datasets.Value("float64"),
774
- "blue_base_1": datasets.Value("int64"),
775
- "blue_base_2": datasets.Value("int64"),
776
- "red_base_1": datasets.Value("int64"),
777
- "red_base_2": datasets.Value("int64"),
778
- "blue_base_2": datasets.Value("float64"),
779
- "red_base_1": datasets.Value("float64"),
780
- "red_base_2": datasets.Value("float64"),
781
- "flux_blue_0": datasets.Value("float64"),
782
- "flux_blue_1": datasets.Value("float64"),
783
- "flux_blue_2": datasets.Value("float64"),
784
- "flux_blue_3": datasets.Value("float64"),
785
- "flux_blue_4": datasets.Value("float64"),
786
- "flux_blue_5": datasets.Value("float64"),
787
- "flux_blue_6": datasets.Value("float64"),
788
- "flux_blue_7": datasets.Value("float64"),
789
- "flux_blue_8": datasets.Value("float64"),
790
- "flux_blue_9": datasets.Value("float64"),
791
- "flux_blue_10": datasets.Value("float64"),
792
- "flux_blue_11": datasets.Value("float64"),
793
- "flux_blue_12": datasets.Value("float64"),
794
- "flux_blue_13": datasets.Value("float64"),
795
- "flux_blue_14": datasets.Value("float64"),
796
- "flux_blue_15": datasets.Value("float64"),
797
- "flux_blue_16": datasets.Value("float64"),
798
- "flux_blue_17": datasets.Value("float64"),
799
- "flux_blue_18": datasets.Value("float64"),
800
- "flux_blue_19": datasets.Value("float64"),
801
- "flux_blue_20": datasets.Value("float64"),
802
- "flux_blue_21": datasets.Value("float64"),
803
- "flux_blue_22": datasets.Value("float64"),
804
- "flux_blue_23": datasets.Value("float64"),
805
- "flux_blue_24": datasets.Value("float64"),
806
- "flux_blue_25": datasets.Value("float64"),
807
- "flux_blue_26": datasets.Value("float64"),
808
- "flux_blue_27": datasets.Value("float64"),
809
- "flux_blue_28": datasets.Value("float64"),
810
- "flux_blue_29": datasets.Value("float64"),
811
- "flux_blue_30": datasets.Value("float64"),
812
- "flux_blue_31": datasets.Value("float64"),
813
- "flux_blue_32": datasets.Value("float64"),
814
- "flux_blue_33": datasets.Value("float64"),
815
- "flux_blue_34": datasets.Value("float64"),
816
- "flux_blue_35": datasets.Value("float64"),
817
- "flux_blue_36": datasets.Value("float64"),
818
- "flux_blue_37": datasets.Value("float64"),
819
- "flux_blue_38": datasets.Value("float64"),
820
- "flux_blue_39": datasets.Value("float64"),
821
- "flux_blue_40": datasets.Value("float64"),
822
- "flux_blue_41": datasets.Value("float64"),
823
- "flux_blue_42": datasets.Value("float64"),
824
- "flux_blue_43": datasets.Value("float64"),
825
- "flux_red_0": datasets.Value("float64"),
826
- "flux_red_1": datasets.Value("float64"),
827
- "flux_red_2": datasets.Value("float64"),
828
- "flux_red_3": datasets.Value("float64"),
829
- "flux_red_4": datasets.Value("float64"),
830
- "flux_red_5": datasets.Value("float64"),
831
- "flux_red_6": datasets.Value("float64"),
832
- "flux_red_7": datasets.Value("float64"),
833
- "flux_red_8": datasets.Value("float64"),
834
- "flux_red_9": datasets.Value("float64"),
835
- "flux_red_10": datasets.Value("float64"),
836
- "flux_red_11": datasets.Value("float64"),
837
- "flux_red_12": datasets.Value("float64"),
838
- "flux_red_13": datasets.Value("float64"),
839
- "flux_red_14": datasets.Value("float64"),
840
- "flux_red_15": datasets.Value("float64"),
841
- "flux_red_16": datasets.Value("float64"),
842
- "flux_red_17": datasets.Value("float64"),
843
- "flux_red_18": datasets.Value("float64"),
844
- "flux_red_19": datasets.Value("float64"),
845
- "flux_red_20": datasets.Value("float64"),
846
- "flux_red_21": datasets.Value("float64"),
847
- "flux_red_22": datasets.Value("float64"),
848
- "flux_red_23": datasets.Value("float64"),
849
- "flux_red_24": datasets.Value("float64"),
850
- "flux_red_25": datasets.Value("float64"),
851
- "flux_red_26": datasets.Value("float64"),
852
- "flux_red_27": datasets.Value("float64"),
853
- "flux_red_28": datasets.Value("float64"),
854
- "flux_red_29": datasets.Value("float64"),
855
- "flux_red_30": datasets.Value("float64"),
856
- "flux_red_31": datasets.Value("float64"),
857
- "flux_red_32": datasets.Value("float64"),
858
- "flux_red_33": datasets.Value("float64"),
859
- "flux_red_34": datasets.Value("float64"),
860
- "flux_red_35": datasets.Value("float64"),
861
- "flux_red_36": datasets.Value("float64"),
862
- "flux_red_37": datasets.Value("float64"),
863
- "flux_red_38": datasets.Value("float64"),
864
- "flux_red_39": datasets.Value("float64"),
865
- "flux_red_40": datasets.Value("float64"),
866
- "flux_red_41": datasets.Value("float64"),
867
- "flux_red_42": datasets.Value("float64"),
868
- "flux_red_43": datasets.Value("float64"),
869
- "flux_red_44": datasets.Value("float64"),
870
- "flux_red_45": datasets.Value("float64"),
871
- "flux_red_46": datasets.Value("float64"),
872
- "flux_red_47": datasets.Value("float64"),
873
- "flux_red_48": datasets.Value("float64"),
874
- "lrs_class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
875
- },
876
- "lrs_7": {
877
- "right_ascension": datasets.Value("float64"),
878
- "declination": datasets.Value("float64"),
879
- "scale_factor": datasets.Value("float64"),
880
- "blue_base_1": datasets.Value("int64"),
881
- "blue_base_2": datasets.Value("int64"),
882
- "red_base_1": datasets.Value("int64"),
883
- "red_base_2": datasets.Value("int64"),
884
- "blue_base_2": datasets.Value("float64"),
885
- "red_base_1": datasets.Value("float64"),
886
- "red_base_2": datasets.Value("float64"),
887
- "flux_blue_0": datasets.Value("float64"),
888
- "flux_blue_1": datasets.Value("float64"),
889
- "flux_blue_2": datasets.Value("float64"),
890
- "flux_blue_3": datasets.Value("float64"),
891
- "flux_blue_4": datasets.Value("float64"),
892
- "flux_blue_5": datasets.Value("float64"),
893
- "flux_blue_6": datasets.Value("float64"),
894
- "flux_blue_7": datasets.Value("float64"),
895
- "flux_blue_8": datasets.Value("float64"),
896
- "flux_blue_9": datasets.Value("float64"),
897
- "flux_blue_10": datasets.Value("float64"),
898
- "flux_blue_11": datasets.Value("float64"),
899
- "flux_blue_12": datasets.Value("float64"),
900
- "flux_blue_13": datasets.Value("float64"),
901
- "flux_blue_14": datasets.Value("float64"),
902
- "flux_blue_15": datasets.Value("float64"),
903
- "flux_blue_16": datasets.Value("float64"),
904
- "flux_blue_17": datasets.Value("float64"),
905
- "flux_blue_18": datasets.Value("float64"),
906
- "flux_blue_19": datasets.Value("float64"),
907
- "flux_blue_20": datasets.Value("float64"),
908
- "flux_blue_21": datasets.Value("float64"),
909
- "flux_blue_22": datasets.Value("float64"),
910
- "flux_blue_23": datasets.Value("float64"),
911
- "flux_blue_24": datasets.Value("float64"),
912
- "flux_blue_25": datasets.Value("float64"),
913
- "flux_blue_26": datasets.Value("float64"),
914
- "flux_blue_27": datasets.Value("float64"),
915
- "flux_blue_28": datasets.Value("float64"),
916
- "flux_blue_29": datasets.Value("float64"),
917
- "flux_blue_30": datasets.Value("float64"),
918
- "flux_blue_31": datasets.Value("float64"),
919
- "flux_blue_32": datasets.Value("float64"),
920
- "flux_blue_33": datasets.Value("float64"),
921
- "flux_blue_34": datasets.Value("float64"),
922
- "flux_blue_35": datasets.Value("float64"),
923
- "flux_blue_36": datasets.Value("float64"),
924
- "flux_blue_37": datasets.Value("float64"),
925
- "flux_blue_38": datasets.Value("float64"),
926
- "flux_blue_39": datasets.Value("float64"),
927
- "flux_blue_40": datasets.Value("float64"),
928
- "flux_blue_41": datasets.Value("float64"),
929
- "flux_blue_42": datasets.Value("float64"),
930
- "flux_blue_43": datasets.Value("float64"),
931
- "flux_red_0": datasets.Value("float64"),
932
- "flux_red_1": datasets.Value("float64"),
933
- "flux_red_2": datasets.Value("float64"),
934
- "flux_red_3": datasets.Value("float64"),
935
- "flux_red_4": datasets.Value("float64"),
936
- "flux_red_5": datasets.Value("float64"),
937
- "flux_red_6": datasets.Value("float64"),
938
- "flux_red_7": datasets.Value("float64"),
939
- "flux_red_8": datasets.Value("float64"),
940
- "flux_red_9": datasets.Value("float64"),
941
- "flux_red_10": datasets.Value("float64"),
942
- "flux_red_11": datasets.Value("float64"),
943
- "flux_red_12": datasets.Value("float64"),
944
- "flux_red_13": datasets.Value("float64"),
945
- "flux_red_14": datasets.Value("float64"),
946
- "flux_red_15": datasets.Value("float64"),
947
- "flux_red_16": datasets.Value("float64"),
948
- "flux_red_17": datasets.Value("float64"),
949
- "flux_red_18": datasets.Value("float64"),
950
- "flux_red_19": datasets.Value("float64"),
951
- "flux_red_20": datasets.Value("float64"),
952
- "flux_red_21": datasets.Value("float64"),
953
- "flux_red_22": datasets.Value("float64"),
954
- "flux_red_23": datasets.Value("float64"),
955
- "flux_red_24": datasets.Value("float64"),
956
- "flux_red_25": datasets.Value("float64"),
957
- "flux_red_26": datasets.Value("float64"),
958
- "flux_red_27": datasets.Value("float64"),
959
- "flux_red_28": datasets.Value("float64"),
960
- "flux_red_29": datasets.Value("float64"),
961
- "flux_red_30": datasets.Value("float64"),
962
- "flux_red_31": datasets.Value("float64"),
963
- "flux_red_32": datasets.Value("float64"),
964
- "flux_red_33": datasets.Value("float64"),
965
- "flux_red_34": datasets.Value("float64"),
966
- "flux_red_35": datasets.Value("float64"),
967
- "flux_red_36": datasets.Value("float64"),
968
- "flux_red_37": datasets.Value("float64"),
969
- "flux_red_38": datasets.Value("float64"),
970
- "flux_red_39": datasets.Value("float64"),
971
- "flux_red_40": datasets.Value("float64"),
972
- "flux_red_41": datasets.Value("float64"),
973
- "flux_red_42": datasets.Value("float64"),
974
- "flux_red_43": datasets.Value("float64"),
975
- "flux_red_44": datasets.Value("float64"),
976
- "flux_red_45": datasets.Value("float64"),
977
- "flux_red_46": datasets.Value("float64"),
978
- "flux_red_47": datasets.Value("float64"),
979
- "flux_red_48": datasets.Value("float64"),
980
- "lrs_class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
981
- },
982
- "lrs_8": {
983
- "right_ascension": datasets.Value("float64"),
984
- "declination": datasets.Value("float64"),
985
- "scale_factor": datasets.Value("float64"),
986
- "blue_base_1": datasets.Value("int64"),
987
- "blue_base_2": datasets.Value("int64"),
988
- "red_base_1": datasets.Value("int64"),
989
- "red_base_2": datasets.Value("int64"),
990
- "blue_base_2": datasets.Value("float64"),
991
- "red_base_1": datasets.Value("float64"),
992
- "red_base_2": datasets.Value("float64"),
993
- "flux_blue_0": datasets.Value("float64"),
994
- "flux_blue_1": datasets.Value("float64"),
995
- "flux_blue_2": datasets.Value("float64"),
996
- "flux_blue_3": datasets.Value("float64"),
997
- "flux_blue_4": datasets.Value("float64"),
998
- "flux_blue_5": datasets.Value("float64"),
999
- "flux_blue_6": datasets.Value("float64"),
1000
- "flux_blue_7": datasets.Value("float64"),
1001
- "flux_blue_8": datasets.Value("float64"),
1002
- "flux_blue_9": datasets.Value("float64"),
1003
- "flux_blue_10": datasets.Value("float64"),
1004
- "flux_blue_11": datasets.Value("float64"),
1005
- "flux_blue_12": datasets.Value("float64"),
1006
- "flux_blue_13": datasets.Value("float64"),
1007
- "flux_blue_14": datasets.Value("float64"),
1008
- "flux_blue_15": datasets.Value("float64"),
1009
- "flux_blue_16": datasets.Value("float64"),
1010
- "flux_blue_17": datasets.Value("float64"),
1011
- "flux_blue_18": datasets.Value("float64"),
1012
- "flux_blue_19": datasets.Value("float64"),
1013
- "flux_blue_20": datasets.Value("float64"),
1014
- "flux_blue_21": datasets.Value("float64"),
1015
- "flux_blue_22": datasets.Value("float64"),
1016
- "flux_blue_23": datasets.Value("float64"),
1017
- "flux_blue_24": datasets.Value("float64"),
1018
- "flux_blue_25": datasets.Value("float64"),
1019
- "flux_blue_26": datasets.Value("float64"),
1020
- "flux_blue_27": datasets.Value("float64"),
1021
- "flux_blue_28": datasets.Value("float64"),
1022
- "flux_blue_29": datasets.Value("float64"),
1023
- "flux_blue_30": datasets.Value("float64"),
1024
- "flux_blue_31": datasets.Value("float64"),
1025
- "flux_blue_32": datasets.Value("float64"),
1026
- "flux_blue_33": datasets.Value("float64"),
1027
- "flux_blue_34": datasets.Value("float64"),
1028
- "flux_blue_35": datasets.Value("float64"),
1029
- "flux_blue_36": datasets.Value("float64"),
1030
- "flux_blue_37": datasets.Value("float64"),
1031
- "flux_blue_38": datasets.Value("float64"),
1032
- "flux_blue_39": datasets.Value("float64"),
1033
- "flux_blue_40": datasets.Value("float64"),
1034
- "flux_blue_41": datasets.Value("float64"),
1035
- "flux_blue_42": datasets.Value("float64"),
1036
- "flux_blue_43": datasets.Value("float64"),
1037
- "flux_red_0": datasets.Value("float64"),
1038
- "flux_red_1": datasets.Value("float64"),
1039
- "flux_red_2": datasets.Value("float64"),
1040
- "flux_red_3": datasets.Value("float64"),
1041
- "flux_red_4": datasets.Value("float64"),
1042
- "flux_red_5": datasets.Value("float64"),
1043
- "flux_red_6": datasets.Value("float64"),
1044
- "flux_red_7": datasets.Value("float64"),
1045
- "flux_red_8": datasets.Value("float64"),
1046
- "flux_red_9": datasets.Value("float64"),
1047
- "flux_red_10": datasets.Value("float64"),
1048
- "flux_red_11": datasets.Value("float64"),
1049
- "flux_red_12": datasets.Value("float64"),
1050
- "flux_red_13": datasets.Value("float64"),
1051
- "flux_red_14": datasets.Value("float64"),
1052
- "flux_red_15": datasets.Value("float64"),
1053
- "flux_red_16": datasets.Value("float64"),
1054
- "flux_red_17": datasets.Value("float64"),
1055
- "flux_red_18": datasets.Value("float64"),
1056
- "flux_red_19": datasets.Value("float64"),
1057
- "flux_red_20": datasets.Value("float64"),
1058
- "flux_red_21": datasets.Value("float64"),
1059
- "flux_red_22": datasets.Value("float64"),
1060
- "flux_red_23": datasets.Value("float64"),
1061
- "flux_red_24": datasets.Value("float64"),
1062
- "flux_red_25": datasets.Value("float64"),
1063
- "flux_red_26": datasets.Value("float64"),
1064
- "flux_red_27": datasets.Value("float64"),
1065
- "flux_red_28": datasets.Value("float64"),
1066
- "flux_red_29": datasets.Value("float64"),
1067
- "flux_red_30": datasets.Value("float64"),
1068
- "flux_red_31": datasets.Value("float64"),
1069
- "flux_red_32": datasets.Value("float64"),
1070
- "flux_red_33": datasets.Value("float64"),
1071
- "flux_red_34": datasets.Value("float64"),
1072
- "flux_red_35": datasets.Value("float64"),
1073
- "flux_red_36": datasets.Value("float64"),
1074
- "flux_red_37": datasets.Value("float64"),
1075
- "flux_red_38": datasets.Value("float64"),
1076
- "flux_red_39": datasets.Value("float64"),
1077
- "flux_red_40": datasets.Value("float64"),
1078
- "flux_red_41": datasets.Value("float64"),
1079
- "flux_red_42": datasets.Value("float64"),
1080
- "flux_red_43": datasets.Value("float64"),
1081
- "flux_red_44": datasets.Value("float64"),
1082
- "flux_red_45": datasets.Value("float64"),
1083
- "flux_red_46": datasets.Value("float64"),
1084
- "flux_red_47": datasets.Value("float64"),
1085
- "flux_red_48": datasets.Value("float64"),
1086
- "lrs_class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
1087
- },
1088
-
1089
- }
1090
- features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
1091
-
1092
-
1093
- class LrsConfig(datasets.BuilderConfig):
1094
- def __init__(self, **kwargs):
1095
- super(LrsConfig, self).__init__(version=VERSION, **kwargs)
1096
- self.features = features_per_config[kwargs["name"]]
1097
-
1098
-
1099
- class Lrs(datasets.GeneratorBasedBuilder):
1100
- # dataset versions
1101
- DEFAULT_CONFIG = "lrs"
1102
- BUILDER_CONFIGS = [
1103
- LrsConfig(name="lrs", description="Lrs dataset."),
1104
- LrsConfig(name="lrs_0", description="Binary lrs_classification of lrs_class 0."),
1105
- LrsConfig(name="lrs_1", description="Binary lrs_classification of lrs_class 1."),
1106
- LrsConfig(name="lrs_2", description="Binary lrs_classification of lrs_class 2."),
1107
- LrsConfig(name="lrs_3", description="Binary lrs_classification of lrs_class 3."),
1108
- LrsConfig(name="lrs_4", description="Binary lrs_classification of lrs_class 4."),
1109
- LrsConfig(name="lrs_5", description="Binary lrs_classification of lrs_class 5."),
1110
- LrsConfig(name="lrs_6", description="Binary lrs_classification of lrs_class 6."),
1111
- LrsConfig(name="lrs_7", description="Binary lrs_classification of lrs_class 7."),
1112
- LrsConfig(name="lrs_8", description="Binary lrs_classification of lrs_class 8.")
1113
-
1114
- ]
1115
-
1116
-
1117
- def _info(self):
1118
- info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
1119
- features=features_per_config[self.config.name])
1120
-
1121
- return info
1122
-
1123
- def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
1124
- downloads = dl_manager.download_and_extract(urls_per_split)
1125
-
1126
- return [
1127
- datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]})
1128
- ]
1129
-
1130
- def _generate_examples(self, filepath: str):
1131
- data = pandas.read_csv(filepath)
1132
- data = self.preprocess(data)
1133
-
1134
- for row_id, row in data.iterrows():
1135
- data_row = dict(row)
1136
-
1137
- yield row_id, data_row
1138
-
1139
- def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
1140
- data.drop("ID-type", axis="columns", inplace=True)
1141
- data = data[list(features_types_per_config["lrs"].keys())].infer_objects()
1142
- data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: x if x < 10 else x // 10)
1143
- data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: x - 1)
1144
-
1145
- if self.config.name == "lrs_0":
1146
- data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 0 else 0)
1147
- if self.config.name == "lrs_1":
1148
- data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 1 else 0)
1149
- if self.config.name == "lrs_2":
1150
- data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 2 else 0)
1151
- if self.config.name == "lrs_3":
1152
- data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 3 else 0)
1153
- if self.config.name == "lrs_4":
1154
- data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 4 else 0)
1155
- if self.config.name == "lrs_5":
1156
- data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 5 else 0)
1157
- if self.config.name == "lrs_6":
1158
- data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 6 else 0)
1159
- if self.config.name == "lrs_7":
1160
- data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 7 else 0)
1161
- if self.config.name == "lrs_8":
1162
- data.loc[:, "lrs_class"] = data["lrs_class"].apply(lambda x: 1 if x == 8 else 0)
1163
-
1164
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