lexicap.py

# coding=utf-8

"""Lexicap: Lex Friedman Podcast Whisper Captions."""


import csv

import datasets


_CITATION = """\
"""

_DESCRIPTION = """\
Lexicap contains the captions for every Lex Friedman Podcast episode. It it created by [Dr. Andrej Karpathy](https://twitter.com/karpathy).
There are 430 caption files available. There are 2 types of files:
    - large
    - small
Each file name follows the format `episode_{episode_number}_{file_type}.vtt`.
"""



class LexicapConfig(datasets.BuilderConfig):
    """BuilderConfig for Lexicap."""

    def __init__(self, **kwargs):
        """Constructs a LexicapConfig.
        Args:
            **kwargs: keyword arguments forwarded to super.
        """
        super(LexicapConfig, self).__init__(version=datasets.Version("0.1.0", ""), **kwargs),


class Lexicap(datasets.GeneratorBasedBuilder):
    """Lexicap dataset."""

    BUILDER_CONFIGS = [
        LexicapConfig(  # pylint: disable=g-complex-comprehension
            description=(
                f"A dataset consisting of captions for every Lex Friedman Podcast episode, generated using OpenAI Whisper. This dataset is created by [Dr. Andrej Karpathy](https://twitter.com/karpathy).
            ),
        )
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION
        )

    def _split_generators(self, dl_manager):
        # There is no predefined train/val/test split for this dataset.
        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"file_path": 'vtt'}),
        ]