---
language:
- en
- pt
- de
- fr
- es
license: odc-by
size_categories:
- 10M<n<100M
source_datasets: OpenCo7/UpVoteWeb
task_categories:
- text-generation
- feature-extraction
- image-to-text
- text-to-image
- fill-mask
dataset_info:
- config_name: default
  features:
  - name: post_id
    dtype: string
  - name: text
    dtype: string
  - name: url
    dtype: string
  - name: date
    dtype: string
  - name: author
    dtype: string
  - name: subreddit
    dtype: string
  - name: score
    dtype: int64
  - name: token_count
    dtype: int64
  - name: language
    dtype: string
  - name: language_score
    dtype: float64
  - name: media_urls
    dtype: string
  splits:
  - name: train
    num_bytes: 9259550876
    num_examples: 16056485
  download_size: 5885641617
  dataset_size: 9259550876
- config_name: eduscore-1
  features:
  - name: post_id
    dtype: string
  - name: text
    dtype: string
  - name: url
    dtype: string
  - name: date
    dtype: string
  - name: author
    dtype: string
  - name: subreddit
    dtype: string
  - name: eduscore
    dtype: float64
  - name: token_count
    dtype: int64
  - name: language
    dtype: string
  - name: language_score
    dtype: float64
  - name: media_urls
    dtype: string
  - name: eduscore_int
    dtype: int64
  splits:
  - name: train
    num_bytes: 1106382730.0
    num_examples: 661861
  download_size: 702006131
  dataset_size: 1106382730.0
- config_name: eduscore-2
  features:
  - name: post_id
    dtype: string
  - name: text
    dtype: string
  - name: url
    dtype: string
  - name: date
    dtype: string
  - name: author
    dtype: string
  - name: subreddit
    dtype: string
  - name: eduscore
    dtype: float64
  - name: token_count
    dtype: int64
  - name: language
    dtype: string
  - name: language_score
    dtype: float64
  - name: media_urls
    dtype: string
  - name: eduscore_int
    dtype: int64
  splits:
  - name: train
    num_bytes: 33822539.0
    num_examples: 17332
  download_size: 20729551
  dataset_size: 33822539.0
- config_name: eduscored
  features:
  - name: post_id
    dtype: string
  - name: text
    dtype: string
  - name: url
    dtype: string
  - name: date
    dtype: string
  - name: author
    dtype: string
  - name: subreddit
    dtype: string
  - name: eduscore
    dtype: float64
  - name: token_count
    dtype: int64
  - name: language
    dtype: string
  - name: language_score
    dtype: float64
  - name: media_urls
    dtype: string
  - name: eduscore_int
    dtype: int64
  splits:
  - name: train
    num_bytes: 9388002756
    num_examples: 16056485
  download_size: 5937232561
  dataset_size: 9388002756
- config_name: en-clean
  features:
  - name: post_id
    dtype: string
  - name: text
    dtype: string
  - name: url
    dtype: string
  - name: date
    dtype: string
  - name: author
    dtype: string
  - name: subreddit
    dtype: string
  - name: score
    dtype: int64
  - name: token_count
    dtype: int64
  - name: language
    dtype: string
  - name: language_score
    dtype: float64
  - name: media_urls
    dtype: string
  splits:
  - name: train
    num_bytes: 7830835057
    num_examples: 13019754
  download_size: 4956674820
  dataset_size: 7830835057
- config_name: image-dataset-sample
  features:
  - name: post_id
    dtype: string
  - name: text
    dtype: string
  - name: date
    dtype: string
  - name: author
    dtype: string
  - name: subreddit
    dtype: string
  - name: score
    dtype: int64
  - name: token_count
    dtype: int64
  - name: language
    dtype: string
  - name: language_score
    dtype: float64
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 97242067379.125
    num_examples: 122087
  download_size: 96955619502
  dataset_size: 97242067379.125
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
- config_name: eduscore-1
  data_files:
  - split: train
    path: eduscore-1/train-*
- config_name: eduscore-2
  data_files:
  - split: train
    path: eduscore-2/train-*
- config_name: eduscored
  data_files:
  - split: train
    path: eduscored/train-*
- config_name: en-clean
  data_files:
  - split: train
    path: en-clean/train-*
- config_name: image-dataset-sample
  data_files:
  - split: train
    path: image-dataset-sample/train-*
tags:
- reddit
- upvoteweb
---


# upvoteweb: posts


Posts in [upvoteweb](https://huggingface.co/datasets/OpenCo7/UpVoteWeb).

## configs

> [!IMPORTANT]  
> There are several configs representing different permutations of this dataset. Load the relevant config for the task you are interested in.

Overview of configs:

- `default`: largely unfiltered/unprocessed original data
- `eduscored`: the "eduscore" predicted on the `text` column with [huggingface's trained classifier](https://hf.co/HuggingFaceFW/fineweb-edu-classifier)
- `en-clean`: filter `language` for `en` and `language_score` for > `0.6`. Run [clean-text](https://pypi.org/project/clean-text/) on the `text` col, preserving casing
- `image-dataset-sample`: filter for posts with `score` > 2000, at least one URL that points to an image. Load the first image URL into a new `image` col, and resize it to have a max dim of 2048

Pass the config name as a second fn arg when loading the dataset to load that config. For example, to load `eduscored`:

```py
from datasets import load_dataset

ds = load_dataset("BEE-spoke-data/upvoteweb-posts", "eduscored")
ds
```

## lang details

Some simple counts in `default`:

```
language
en     14745361
de       271905
es       176108
pt       138175
fr       126898
         ...   
kv            2
tyv           1
myv           1
hif           1
lez           1
Name: count, Length: 171, dtype: int64
```