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Datasets:
BEE-spoke-data
/
upvoteweb-posts

Tasks:
Text Generation
Feature Extraction
Image-to-Text
Modalities:
Image
Tabular
Text
Formats:
parquet
Languages:
English
Portuguese
German
Size:
10M - 100M
Tags:
reddit
upvoteweb
Libraries:
Datasets
Dask
License:
Dataset card Viewer Files
upvoteweb-posts / README.md
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metadata
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
        num_examples: 661861
    download_size: 702006131
    dataset_size: 1106382730
  - 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
        num_examples: 17332
    download_size: 20729551
    dataset_size: 33822539
  - 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.

configs

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
  • en-clean: filter language for en and language_score for > 0.6. Run 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:

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