Datasets:
metadata
license: cc-by-nc-sa-4.0
tags:
- croissant
- idrama-lab
- social-media
- web-communities
- scored-platform
- reddit
- sentence-embedding
pretty_name: idrama-scored-2024
source_datasets:
- original
dataset_info:
- config_name: comments-2020
features:
- name: uuid
dtype: string
- name: score
dtype: int64
- name: created
dtype: int64
- name: score_up
dtype: int64
- name: community
dtype: string
- name: is_deleted
dtype: bool
- name: score_down
dtype: int64
- name: raw_content
dtype: string
- name: is_moderator
dtype: bool
- name: date
dtype: string
- name: author
dtype: string
- name: embedding
sequence: float32
splits:
- name: train
num_bytes: 31046054383
num_examples: 12774203
download_size: 37704189521
dataset_size: 31046054383
- config_name: comments-2021
features:
- name: uuid
dtype: string
- name: score
dtype: int64
- name: created
dtype: int64
- name: score_up
dtype: int64
- name: community
dtype: string
- name: is_deleted
dtype: bool
- name: score_down
dtype: int64
- name: raw_content
dtype: string
- name: is_moderator
dtype: bool
- name: date
dtype: timestamp[ns]
- name: author
dtype: string
- name: embedding
sequence: float32
splits:
- name: train
num_bytes: 40987707754
num_examples: 16097941
download_size: 48643801377
dataset_size: 40987707754
- config_name: comments-2022
features:
- name: uuid
dtype: string
- name: score
dtype: int64
- name: created
dtype: int64
- name: score_up
dtype: int64
- name: community
dtype: string
- name: is_deleted
dtype: bool
- name: score_down
dtype: int64
- name: raw_content
dtype: string
- name: is_moderator
dtype: bool
- name: date
dtype: timestamp[ns]
- name: author
dtype: string
- name: embedding
sequence: float32
splits:
- name: train
num_bytes: 40428423985
num_examples: 12730301
download_size: 46891480349
dataset_size: 40428423985
- config_name: comments-2023
features:
- name: uuid
dtype: string
- name: score
dtype: int64
- name: created
dtype: int64
- name: score_up
dtype: int64
- name: community
dtype: string
- name: is_deleted
dtype: bool
- name: score_down
dtype: int64
- name: raw_content
dtype: string
- name: is_moderator
dtype: bool
- name: date
dtype: timestamp[ns]
- name: author
dtype: string
- name: embedding
sequence: float32
splits:
- name: train
num_bytes: 28954472165
num_examples: 8919159
download_size: 33452541163
dataset_size: 28954472165
- config_name: submissions-2020-to-2023
features:
- name: link
dtype: string
- name: type
dtype: string
- name: uuid
dtype: string
- name: score
dtype: int64
- name: title
dtype: string
- name: domain
dtype: string
- name: created
dtype: int64
- name: is_nsfw
dtype: bool
- name: is_admin
dtype: bool
- name: is_image
dtype: bool
- name: is_video
dtype: bool
- name: score_up
dtype: int64
- name: tweet_id
dtype: string
- name: community
dtype: string
- name: is_deleted
dtype: bool
- name: is_twitter
dtype: bool
- name: score_down
dtype: int64
- name: video_link
dtype: string
- name: raw_content
dtype: string
- name: is_moderator
dtype: bool
- name: post_flair_text
dtype: string
- name: post_flair_class
dtype: string
- name: date
dtype: timestamp[ns]
- name: author
dtype: string
- name: embedding
sequence: float32
splits:
- name: train
num_bytes: 17187529594
num_examples: 6293980
download_size: 20010835367
dataset_size: 17187529594
configs:
- config_name: comments-2020
data_files:
- split: train
path: comments-2020/train-*
- config_name: comments-2021
data_files:
- split: train
path: comments-2021/train-*
- config_name: comments-2022
data_files:
- split: train
path: comments-2022/train-*
- config_name: comments-2023
data_files:
- split: train
path: comments-2023/train-*
- config_name: submissions-2020-to-2023
data_files:
- split: train
path: submissions-2020-to-2023/train-*
size_categories:
- 10M<n<100M
Dataset Summary
iDRAMA-Scored-2024 is a large-scale dataset containing approximately 57 million social media posts from web communities on social media platform, Scored.
Scored serves as an alternative to Reddit, hosting banned fringe communities, for example, c/TheDonald, a prominent right-wing community, and c/GreatAwakening, a conspiratorial community.
This dataset contains 57M posts from over 950 communities collected over four years, and includes sentence embeddings for all posts.
Scored platform: Scored
Link to paper: Here
License: CC BY-NC-SA 4.0
Repo-links Purpose Zenodo From Zenodo, researchers can download liteversion of this dataset, which includes only 57M posts from Scored (not the sentence embeddings).Github The main repository of this dataset, where we provide code-snippets to get started with this dataset. Huggingface On Huggingface, we provide complete dataset with senetence embeddings.
Quick start with Datasets
Install Datasets module by pip install datasets and then use the following code:
from datasets import load_dataset
# Download & Load complete dataset
dataset = load_dataset("iDRAMALab/iDRAMA-scored-2024")
# Load dataset with specific config
dataset = load_dataset("iDRAMALab/iDRAMA-scored-2024", name="comments-2020")
More code-snippets to load the different variant of datasets efficiently are available on Github rpository.
Dataset Info
Dataset is organized by yealry-comments and submissions -- comments-2020, comments-2021, comments-2022, comments-2023, submissions-2020-t0-2023.
| Config | Data-points |
|---|---|
| comments-2020 | 12,774,203 |
| comments-2021 | 16,097,941 |
| comments-2022 | 12,730,301 |
| comments-2023 | 8,919,159 |
| submissions-2020-to-2023 | 6,293,980 |
Top-15 communities in our dataset with total number of posts are shown as following:
| Community | Number of posts |
|---|---|
| c/TheDonald | 41,745,699 |
| c/GreatAwakening | 6,161,369 |
| c/IP2Always | 3,154,741 |
| c/ConsumeProduct | 2,263,060 |
| c/KotakuInAction2 | 747,215 |
| c/Conspiracies | 539,164 |
| c/Funny | 371,081 |
| c/NoNewNormal | 322,300 |
| c/OmegaCanada | 249,316 |
| c/Gaming | 181,469 |
| c/MGTOW | 175,853 |
| c/Christianity | 124,866 |
| c/Shithole | 98,720 |
| c/WSBets | 66,358 |
| c/AskWin | 39,308 |
Submission data fields are as following:
- `uuid`: Unique identifier associated with each sub- mission (uuid).
- `created`: UTC timestamp of the submission posted to Scored platform.
- `date`: Date of the submission, converted from UTC timestamp while data curation.
- `author`: User of the submission. (Note -- We hash the userames for ethical considerations.)
- `community`: Name of the community in which the submission is posted to.
- `title`: Title of the submission.
- `raw_content`: Body of the submission.
- `embedding`: Generated embedding by combining "title" and "raw_content," with 768 dimensional vector with fp32-bit.
- `link`: URL if the submission is a link.
- `type`: Indicates whether the submission is text or a link.
- `domain`: Base domain if the submission is a link.
- `tweet_id`: Associated tweet id if the submission is a Twitter link.
- `video_link`: Associated video link if the submission is a video.
- `score`: Metric about the score of sample submission.
- `score_up`: Metric about the up-votes casted to sample submission.
- `score_down`: Metric about the down-votes casted to sample submission.
- `is_moderator`: Whether the submission is created by moderator or not.
- `is_nsfw`: True, if the submission is flagged not safe for work.
- `is_admin`: Boolean flag about whether the submission is posted by admin.
- `is_image`: Boolean flag if the submission is image type of media.
- `is_video`: Boolean flag if the submission is type of video.
- `is_twitter`: Boolean flag if the submission is a twitter (now, named as X) link.
- `is_deleted`: Whether the submission was deleted as a moderation measure or not. If yes, the "title" and "raw_content" could be empty string.
- `post_flair_text` & `post_flair_class`: Similar to Reddit submission flairs, which is a way to tag a submission with a certain keywords.
Comments data fields are as following:
- `uuid`
- `date`
- `author`
- `community`
- `raw_content`
- `created`
- `embedding`
- `score`
- `score_up`
- `score_down`
- `is_moderator`
- `is_deleted`
Read more about the fields and methodology from the paper.
Dataset fields Nullability:
- If field (column) doesn't have a value, the fields are left with an empty value.
- For instance, in the case of post deletion as a moderation measure,
titleof submission can have no value. - We do not explicit mark value as "Null" for any of the column in our dataset except
embeddingcolumn.
- For instance, in the case of post deletion as a moderation measure,
- Only, embedding column contains explicit "Null" value.
For eliminating empty records using pandas, the code looks like below:
# Load dataset for `comments-2020` config
dataset = load_dataset("iDRAMALab/iDRAMA-scored-2024", name="comments-2020")
pd_df = dataset["train"].to_pandas()
# Remove all empty records based on empty `title` column
pd_df = pdf_df[pd_df.title != ""]
# Remove all records which do not have `author` information
pd_df = pdf_df[pd_df.author != ""]
# Remove all records which do not have generated embeddings
pd_df = pdf_df[~pd_df.embedding.isna()]
Version
- Maintenance Status: Active
- Version Details:
- Current Version: v1.0.0
- First Release: 05/16/2024
- Last Update: 05/16/2024
Authorship
This dataset is published at "AAAI ICWSM 2024 (INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA)" hosted at Buffalo, NY, USA.
- Academic Organization: iDRAMA Lab
- Affiliation: Binghamton University, Boston University, University of California Riverside
Licensing
This dataset is available for free to use under terms of the non-commercial license CC BY-NC-SA 4.0.
Citation
@misc{patel2024idramascored2024,
title={iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023},
author={Jay Patel and Pujan Paudel and Emiliano De Cristofaro and Gianluca Stringhini and Jeremy Blackburn},
year={2024},
eprint={2405.10233},
archivePrefix={arXiv},
primaryClass={cs.SI}
}