metadata
configs:
- config_name: default
data_files:
- split: validation
path: data/*
- config_name: torrent
data_files:
- split: validation
path: torrent/*
dataset_info:
features:
- name: uid
dtype: uint64
- name: meta
dtype: large_string
- name: token_ids
large_list: int64
- name: text
dtype: large_string
splits:
- name: train
num_bytes: 4079842949
num_examples: 214670
download_size: 1312686961
dataset_size: 4079842949
This dataset has been created as an artefact of the paper Causal Estimation of Memorisation Profiles (Lesci et al., 2024). More info about this dataset in the related collection Memorisation-Profiles.
The validation data used in our study. The Pythia suite does not have an official validation. However, we confirmed with the authors that the Pile validation split (this one) was not seen during training. It is still a bit confusing whether the Pile data can be released freely. Thus, we will remove this dataset if required.