Datasets:
metadata
dataset_info:
features:
- name: url
dtype: string
- name: channel_id
dtype: string
- name: post_id
dtype: int64
- name: views
dtype: int64
- name: pub_time
dtype: int64
- name: text
dtype: string
- name: fetch_time
dtype: int64
- name: images
sequence: string
- name: links
sequence: string
- name: videos
sequence: string
- name: reply_to
dtype: string
- name: forward_from
dtype: string
- name: channel_title
dtype: string
- name: has_obscene
dtype: bool
- name: patched_text
dtype: string
- name: groups
struct:
- name: economy
dtype: string
- name: main
dtype: string
- name: tech
dtype: string
- name: issue
dtype: string
- name: language
dtype: string
splits:
- name: train
num_bytes: 3508000056
num_examples: 1672028
download_size: 1827333867
dataset_size: 3508000056
license: cc-by-4.0
task_categories:
- text-generation
language:
- ru
pretty_name: Nyan Documents
size_categories:
- 1M<n<10M
Nyan documents
Documents scraped for НЯН Telegram channel from March 2022 to December 2023. The dataset includes documents from 100+ different Telegram news channels.
Usage
pip3 install datasets
from datasets import load_dataset
for row in load_dataset("NyanNyanovich/nyan_documents", split="train", streaming=True):
print(row)
break