README.md

metadata

language:
  - en
license: other
tags:
  - pretraining
  - text-generation
  - language-modeling
task_categories:
  - text-generation
task_ids:
  - language-modeling
size_categories:
  - 10K<n<100K
pretty_name: fp_pt_split_hub
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*.parquet
      - split: validation
        path: data/validation-*.parquet
      - split: test
        path: data/test-*.parquet
train-eval-index:
  - config: default
    task: text-generation
    task_id: language-modeling
    splits:
      train_split: train
      eval_split: validation
    col_mapping:
      text: text

Dataset Card for fp_pt_split_hub

Dataset Summary

This dataset contains text records converted from local JSONL files. Each source record had a text field, which is exposed as the dataset's text column.

Conversion cleanup:

• HTML character references such as ', &, <, and " are decoded.
• Conservative text cleanup removes transcript stage tags, common YouTube boilerplate, control/replacement characters, PDF percent-space artifacts, and raw LaTeX tabular wrappers.
• Punctuation spacing is normalized for common extraction artifacts such as A.Connella, ISSN:2153, and text.Next.

How to Load

from datasets import load_dataset

ds = load_dataset("fp_pt_split_hub")

For a local checkout, use:

from datasets import load_dataset

ds = load_dataset("/path/to/fp_pt_split_hub")

Dataset Stats

Split	Rows
train	14,522
validation	147
test	75

Data Schema

Columns:

• text

Licensing Information

License: other