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EsaSinthia/kmer_features_count_dataset

pretty_name: "kmer_features_count_dataset" tags: flwr genomics A very simple dataset for testing and learning bioinformatics and federated learning . Data is collected from katarinagresova/Genomic_Benchmarks_drosophila_enhancers_stark then I apply very simple preprocessing like count kmer technuqes dataset_info: features: - name: '0' dtype: float64 - name: '1' dtype: float64 - name: '2' dtype: float64 - name: '3' dtype: float64 - name: '4' dtype:… See the full description on the dataset page: https://huggingface.co/datasets/EsaSinthia/kmer_features_count_dataset.

sourceHugging Faceupdated 1y agoView on Hugging Face
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prettyname: "kmerfeaturescountdataset" tags:

  • —flwr
  • —genomics A very simple dataset for testing and learning bioinformatics and federated learning .

Data is collected from katarinagresova/GenomicBenchmarksdrosophilaenhancersstark then I apply very simple preprocessing like count kmer technuqes

dataset_info: features:

  • —name: '0' dtype: float64
  • —name: '1' dtype: float64
  • —name: '2' dtype: float64
  • —name: '3' dtype: float64
  • —name: '4' dtype: float64
  • —name: '5' dtype: float64
  • —name: '6' dtype: float64
  • —name: '7' dtype: float64
  • —name: '8' dtype: float64
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  • —name: '11' dtype: float64
  • —name: '12' dtype: float64
  • —name: '13' dtype: float64
  • —name: '14' dtype: float64
  • —name: '15' dtype: float64
  • —name: '16' dtype: float64
  • —name: '17' dtype: float64
  • —name: '18' dtype: float64
  • —name: '19' dtype: float64
  • —name: '20' dtype: float64
  • —name: '21' dtype: float64
  • —name: '22' dtype: float64
  • —name: '23' dtype: float64
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  • —name: '28' dtype: float64
  • —name: '29' dtype: float64
  • —name: '30' dtype: float64
  • —name: '31' dtype: float64
  • —name: '32' dtype: float64
  • —name: '33' dtype: float64
  • —name: '34' dtype: float64
  • —name: '35' dtype: float64
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  • —name: '49' dtype: float64
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  • —name: '61' dtype: float64
  • —name: '62' dtype: float64
  • —name: '63' dtype: float64
  • —name: label dtype: int64 splits:
  • —name: train numbytes: 2695680 numexamples: 5184 downloadsize: 451500 datasetsize: 2695680 configs:
  • —configname: default datafiles:
  • —split: train path: data/train-* ---