|
--- |
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language: |
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- en |
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- pt |
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- de |
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- fr |
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- es |
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license: odc-by |
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size_categories: |
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- 10M<n<100M |
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source_datasets: OpenCo7/UpVoteWeb |
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task_categories: |
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- text-generation |
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- feature-extraction |
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- image-to-text |
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- text-to-image |
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- fill-mask |
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dataset_info: |
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- config_name: default |
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features: |
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- name: post_id |
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dtype: string |
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- name: text |
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dtype: string |
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- name: url |
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dtype: string |
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- name: date |
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dtype: string |
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- name: author |
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dtype: string |
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- name: subreddit |
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dtype: string |
|
- name: score |
|
dtype: int64 |
|
- name: token_count |
|
dtype: int64 |
|
- name: language |
|
dtype: string |
|
- name: language_score |
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dtype: float64 |
|
- name: media_urls |
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dtype: string |
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splits: |
|
- name: train |
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num_bytes: 9259550876 |
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num_examples: 16056485 |
|
download_size: 5885641617 |
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dataset_size: 9259550876 |
|
- config_name: eduscore-1 |
|
features: |
|
- name: post_id |
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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 |
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dtype: int64 |
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splits: |
|
- name: train |
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num_bytes: 1106382730.0 |
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num_examples: 661861 |
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download_size: 702006131 |
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dataset_size: 1106382730.0 |
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- config_name: eduscore-2 |
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features: |
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- name: post_id |
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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: |
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- config_name: default |
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data_files: |
|
- split: train |
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path: data/train-* |
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- config_name: eduscore-1 |
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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 |
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data_files: |
|
- split: train |
|
path: image-dataset-sample/train-* |
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tags: |
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- reddit |
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- upvoteweb |
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--- |
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|
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|
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# upvoteweb: posts |
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|
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Posts in [upvoteweb](https://huggingface.co/datasets/OpenCo7/UpVoteWeb). |
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|
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## configs |
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|
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> [!IMPORTANT] |
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> There are several configs representing different permutations of this dataset. Load the relevant config for the task you are interested in. |
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|
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Overview of configs: |
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|
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- `default`: largely unfiltered/unprocessed original data |
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- `eduscored`: the "eduscore" predicted on the `text` column with [huggingface's trained classifier](https://hf.co/HuggingFaceFW/fineweb-edu-classifier) |
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- `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 |
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- `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 |
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|
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Pass the config name as a second fn arg when loading the dataset to load that config. For example, to load `eduscored`: |
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|
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```py |
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from datasets import load_dataset |
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|
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ds = load_dataset("BEE-spoke-data/upvoteweb-posts", "eduscored") |
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ds |
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``` |
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|
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## lang details |
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|
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Some simple counts in `default`: |
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|
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``` |
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language |
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en 14745361 |
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de 271905 |
|
es 176108 |
|
pt 138175 |
|
fr 126898 |
|
... |
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kv 2 |
|
tyv 1 |
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myv 1 |
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hif 1 |
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lez 1 |
|
Name: count, Length: 171, dtype: int64 |
|
``` |
