language:ru license:cc-by-4.0 size_categories:10K<n<100K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: docs
    sequence: string
  - name: message_id
    dtype: float64
  - name: create_time
    dtype: float64
  - name: annotation_doc
    dtype: string
  - name: first_doc
    dtype: string
  - name: hash
    dtype: string
  - name: is_important
    dtype: bool
  - name: clid
    dtype: float64
  - name: message
    struct:
    - name: from_discussion
      dtype: bool
    - name: issue
      dtype: string
    - name: message_id
      dtype: int64
  - name: messages
    list:
    - name: from_discussion
      dtype: bool
    - name: issue
      dtype: string
    - name: message_id
      dtype: int64
  splits:
  - name: train
    num_bytes: 21796882
    num_examples: 41296
  download_size: 6836100
  dataset_size: 21796882
license: cc-by-4.0
language:
- ru
pretty_name: Nyan Clusters
size_categories:
- 10K<n<100K
---

# Nyan clusters

Clusters of documents formed in [НЯН](https://t.me/nyannews) Telegram channel from March 2022 to December 2023. You can use the documents dataset to get texts.

## Usage
```bash
pip3 install datasets
```

```python
from datasets import load_dataset
for row in load_dataset("NyanNyanovich/nyan_clusters", split="train", streaming=True):
    print(row)
    break
```

## Other datasets
* Documents: https://huggingface.co/datasets/NyanNyanovich/nyan_documents
* Clusters (this dataset): https://huggingface.co/datasets/NyanNyanovich/nyan_clusters