README.md

metadata

pretty_name: Chat/instruction data (filtered)
license: cc-by-nc-4.0
language:
  - en
task_categories:
  - text-generation
tags:
  - finance
  - pretraining
  - corpus
  - thefinai
extra_gated_heading: Request access to Chat/instruction data (filtered)
extra_gated_description: >-
  Chat/instruction data (filtered) is released by The Fin AI for research.
  Access is granted automatically after you complete this short form.
extra_gated_button_content: Agree and access
extra_gated_prompt: >-
  By accessing this dataset you agree to its license and to cite the The Fin AI
  paper in any resulting publication. Use of the content is also subject to the
  terms of the original source.
extra_gated_fields:
  Full name: text
  Affiliation: text
  Country: country
  Intended use:
    type: select
    options:
      - Research
      - Education
      - Commercial evaluation
      - Other
  I agree to the terms above and will cite the paper: checkbox

Chat/instruction data (filtered)

🌐 The Fin AI

Pretraining / reference corpus released by The Fin AI. Source: Instruction-tuning mixtures (e.g. Alpaca, SIQA, OASST1, GSM8K, Super-NaturalInstructions).

Source

A mixture of public instruction datasets; licensed CC BY-NC 4.0 because it includes Alpaca (non-commercial).

Structure

• Rows: 3,106,579
• Columns: source, date, text, token_count, category

Quick Start

from datasets import load_dataset

ds = load_dataset("TheFinAI/chat_filtered", split="train", streaming=True)
print(next(iter(ds)))

License

CC BY NC 4.0, following the original source. Please attribute the original source.