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 `lite` version 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, title of submission can have no value.
- We do not explicit mark value as "Null" for any of the column in our dataset except embedding column.
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

@inproceedings{patel2024idrama,
  title={iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023},
  author={Patel, Jay and Paudel, Pujan and De Cristofaro, Emiliano and Stringhini, Gianluca and Blackburn, Jeremy},
  booktitle={Proceedings of the International AAAI Conference on Web and Social Media},
  volume={18},
  pages={2014--2024},
  year={2024},
  issn = {2334-0770},
  doi = {10.1609/icwsm.v18i1.31444},
}