Datasets:
metadata
license: odc-by
source_datasets: togethercomputer/Long-Data-Collections
size_categories:
- 10K<n<100K
dataset_info:
- config_name: clean
features:
- name: meta
struct:
- name: publication_date
dtype: int64
- name: short_book_title
dtype: string
- name: url
dtype: string
- name: text
dtype: string
- name: first_25k
dtype: string
- name: score
dtype: float64
splits:
- name: train
num_bytes: 10956591018.806879
num_examples: 25575
download_size: 6784885445
dataset_size: 10956591018.806879
- config_name: default
features:
- name: meta
struct:
- name: publication_date
dtype: int64
- name: short_book_title
dtype: string
- name: url
dtype: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 10580548205.687407
num_examples: 26372
download_size: 6635583644
dataset_size: 10580548205.687407
- config_name: embeddings-jina-base
features:
- name: meta
struct:
- name: publication_date
dtype: int64
- name: short_book_title
dtype: string
- name: url
dtype: string
- name: text
dtype: string
- name: embedding
sequence: float64
splits:
- name: train
num_bytes: 10801330292
num_examples: 26372
download_size: 6772846092
dataset_size: 10801330292
- config_name: filtered-clean_grade
features:
- name: meta
struct:
- name: publication_date
dtype: int64
- name: short_book_title
dtype: string
- name: url
dtype: string
- name: text
dtype: string
- name: score
dtype: float64
splits:
- name: train
num_bytes: 1132451934.8929183
num_examples: 2918
download_size: 694597113
dataset_size: 1132451934.8929183
- config_name: filtered-mild_grade
features:
- name: meta
struct:
- name: publication_date
dtype: int64
- name: short_book_title
dtype: string
- name: url
dtype: string
- name: text
dtype: string
- name: score
dtype: float64
splits:
- name: train
num_bytes: 4869464328.592873
num_examples: 12018
download_size: 3021366037
dataset_size: 4869464328.592873
- config_name: graded
features:
- name: meta
struct:
- name: publication_date
dtype: int64
- name: short_book_title
dtype: string
- name: url
dtype: string
- name: text
dtype: string
- name: label
dtype: string
- name: score
dtype: float64
splits:
- name: train
num_bytes: 10639835144
num_examples: 26372
download_size: 6599881939
dataset_size: 10639835144
configs:
- config_name: clean
data_files:
- split: train
path: clean/train-*
- config_name: default
data_files:
- split: train
path: data/train-*
- config_name: embeddings-jina-base
data_files:
- split: train
path: embeddings-jina-base/train-*
- config_name: filtered-clean_grade
data_files:
- split: train
path: filtered-clean_grade/train-*
- config_name: filtered-mild_grade
data_files:
- split: train
path: filtered-mild_grade/train-*
- config_name: graded
data_files:
- split: train
path: graded/train-*
task_categories:
- text-generation
- feature-extraction
- fill-mask
language:
- en
tags:
- books
- long documents
Dataset Card for "rp_books-en"
Filtering/cleaning on the 'red pajama books' subset of togethercomputer/Long-Data-Collections
The default
config:
Dataset({
features: ['meta', 'text'],
num_rows: 26372
})
token count
default
GPT-4 tiktoken token count:
token_count
count 2.637200e+04
mean 1.009725e+05
std 1.161315e+05
min 3.811000e+03
25% 3.752750e+04
50% 7.757950e+04
75% 1.294130e+05
max 8.687685e+06
Total count: 2662.85 M tokens