Add initial implementation of lexicap

lexicap.py

@@ -0,0 +1,57 @@
+# 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
+            name=config_name,
+            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).
+            ),
+        )
+        for config_name in _DATA_OPTIONS
+    ]
+
+    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'}),
+        ]