Table · dataset · 2024
trl-lib/tldr
Listed in Hugging Face Datasets
TL;DR Dataset
Description
Summary
The TL;DR dataset is a processed version of Reddit posts, specifically curated to train models using the TRL library for summarization tasks. It leverages the common practice on Reddit where users append "TL;DR" (Too Long; Didn't Read) summaries to lengthy posts, providing a rich source of paired text data for training summarization models. Data Structure Format: Standard Type: Prompt-completion Columns: "pompt": The unabridged Reddit… See the full description on the dataset page: huggingface.co/datasets/trl-lib/tldr.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/trl-lib/tldr ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/trl-lib/tldr ↗
metadata API · from Hugging Face
Topics
- Stated by source
- text
- From keywords
- Computer Science & AI
- Inferred from text
- Text 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | trl-lib/tldr | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].hf_modality:text | source · Hugging Face | connector:huggingface@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · Hugging Face | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |