Datasetpublic

hxue3/autotrain-data-code_summarization

AutoTrain Dataset for project: code_summarization Dataset Descritpion This dataset has been automatically processed by AutoTrain for project code_summarization. Languages The BCP-47 code for the dataset's language is en. Dataset Structure Data Instances A sample from this dataset looks as follows: [ { "text": "def read(self, table, columns, keyset, index=\"\", limit=0, partition=None):\n \"\"\"Perform a… See the full description on the dataset page: https://huggingface.co/datasets/hxue3/autotrain-data-code_summarization.

sourceHugging Faceupdated 4y agoView on Hugging Face

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Dataset Card

AutoTrain Dataset for project: code_summarization

Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project code_summarization.

Languages

The BCP-47 code for the dataset's language is en.

Dataset Structure

Data Instances

A sample from this dataset looks as follows:

json

[
  {
    "text": "def read(self, table, columns, keyset, index=\"\", limit=0, partition=None):\n        \"\"\"Perform a ``St[...]",
    "target": "Perform a ``StreamingRead`` API request for rows in a table.\n\n        :type table: str\n        :para[...]"
  },
  {
    "text": "def maf_somatic_variant_stats(variant, variant_metadata):\n    \"\"\"\n    Parse out the variant calling [...]",
    "target": "Parse out the variant calling statistics for a given variant from a MAF file\n\n    Assumes the MAF fo[...]"
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

json

{
  "text": "Value(dtype='string', id=None)",
  "target": "Value(dtype='string', id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

Split name	Num samples
train	800
valid	200