README.md

---
language:
- en
license: apache-2.0
source_datasets: vivym/midjourney-messages
task_categories:
- text-generation
dataset_info:
- config_name: deduped
  features:
  - name: id
    dtype: string
  - name: channel_id
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 2538669745.0
    num_examples: 14828769
  download_size: 1585207687
  dataset_size: 2538669745.0
- config_name: default
  features:
  - name: id
    dtype: string
  - name: channel_id
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 3575844717.3610477
    num_examples: 19716685
  download_size: 1514418407
  dataset_size: 3575844717.3610477
configs:
- config_name: deduped
  data_files:
  - split: train
    path: deduped/train-*
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- midjourney
---

# midjourney-messages-cleaned


This is [vivym/midjourney-messages](https://huggingface.co/datasets/vivym/midjourney-messages) but with the following cleaning steps:

- remove most columns (keep `id` columns for reference vs. original)
- Apply `clean-text` to all rows (_keep casing_)
- rename `content` to `text` (ffs)
- remove intermediate ID/tag (???) in angle brackets at the end, remove double asterisks `**`
- remove exact duplicate rows



## dataset structure


overall:

```python
DatasetDict({
    train: Dataset({
        features: ['id', 'channel_id', 'text'],
        num_rows: 19738964
    })
})
```

A single example looks like this:

```python
random.choice(dataset['train'])

{'id': '1108635049391308879',
 'channel_id': '1008571088919343124',
 'text': 'Warhammer 40k Chaos Space Marine with pink Armor and a guitar'}
```

## details


585M GPT-4 tiktoken tokens.

```
token_count
count  1.971668e+07
mean   2.971651e+01
std    3.875208e+01
min    1.000000e+00
25%    1.000000e+01
50%    1.900000e+01
75%    3.400000e+01
max    2.077000e+03
```