metadata
license: mit
task_categories:
- text-generation
tags:
- long-sequence-generation
- training-data
- llm-training
dataset_info:
features:
- name: input_ids
sequence: int32
splits:
- name: train
num_bytes: 1126604624
num_examples: 27553
download_size: 521687503
dataset_size: 1126604624
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
This dataset provides training data for accelerating ultra-long sequence generation with large language models (LLMs). It's used in the paper From Hours to Minutes: Lossless Acceleration of Ultra Long Sequence Generation up to 100K Tokens.
The data is derived from the PG-19 dataset, filtering out sequences smaller than 8K tokens to focus on ultra-long sequences relevant for the TokenSwift method described in the paper.