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--- |
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license: cc-by-nc-sa-4.0 |
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tags: |
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- croissant |
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- idrama-lab |
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- social-media |
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- web-communities |
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- scored-platform |
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- reddit |
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- sentence-embedding |
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pretty_name: idrama-scored-2024 |
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source_datasets: |
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- original |
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dataset_info: |
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- config_name: comments-2020 |
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features: |
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- name: uuid |
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dtype: string |
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- name: score |
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dtype: int64 |
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- name: created |
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dtype: int64 |
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- name: score_up |
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dtype: int64 |
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- name: community |
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dtype: string |
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- name: is_deleted |
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dtype: bool |
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- name: score_down |
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dtype: int64 |
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- name: raw_content |
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dtype: string |
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- name: is_moderator |
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dtype: bool |
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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: embedding |
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sequence: float32 |
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splits: |
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- name: train |
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num_bytes: 31046054383 |
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num_examples: 12774203 |
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download_size: 37704189521 |
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dataset_size: 31046054383 |
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- config_name: comments-2021 |
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features: |
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- name: uuid |
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dtype: string |
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- name: score |
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dtype: int64 |
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- name: created |
|
dtype: int64 |
|
- name: score_up |
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dtype: int64 |
|
- name: community |
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dtype: string |
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- name: is_deleted |
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dtype: bool |
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- name: score_down |
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dtype: int64 |
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- name: raw_content |
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dtype: string |
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- name: is_moderator |
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dtype: bool |
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- name: date |
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dtype: timestamp[ns] |
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- name: author |
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dtype: string |
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- name: embedding |
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sequence: float32 |
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splits: |
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- name: train |
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num_bytes: 40987707754 |
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num_examples: 16097941 |
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download_size: 48643801377 |
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dataset_size: 40987707754 |
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- config_name: comments-2022 |
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features: |
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- name: uuid |
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dtype: string |
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- name: score |
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dtype: int64 |
|
- name: created |
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dtype: int64 |
|
- name: score_up |
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dtype: int64 |
|
- name: community |
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dtype: string |
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- name: is_deleted |
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dtype: bool |
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- name: score_down |
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dtype: int64 |
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- name: raw_content |
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dtype: string |
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- name: is_moderator |
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dtype: bool |
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- name: date |
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dtype: timestamp[ns] |
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- name: author |
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dtype: string |
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- name: embedding |
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sequence: float32 |
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splits: |
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- name: train |
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num_bytes: 40428423985 |
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num_examples: 12730301 |
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download_size: 46891480349 |
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dataset_size: 40428423985 |
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- config_name: comments-2023 |
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features: |
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- name: uuid |
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dtype: string |
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- name: score |
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dtype: int64 |
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- name: created |
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dtype: int64 |
|
- name: score_up |
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dtype: int64 |
|
- name: community |
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dtype: string |
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- name: is_deleted |
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dtype: bool |
|
- name: score_down |
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dtype: int64 |
|
- name: raw_content |
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dtype: string |
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- name: is_moderator |
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dtype: bool |
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- name: date |
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dtype: timestamp[ns] |
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- name: author |
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dtype: string |
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- name: embedding |
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sequence: float32 |
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splits: |
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- name: train |
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num_bytes: 28954472165 |
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num_examples: 8919159 |
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download_size: 33452541163 |
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dataset_size: 28954472165 |
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- config_name: submissions-2020-to-2023 |
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features: |
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- name: link |
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dtype: string |
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- name: type |
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dtype: string |
|
- name: uuid |
|
dtype: string |
|
- name: score |
|
dtype: int64 |
|
- name: title |
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dtype: string |
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- name: domain |
|
dtype: string |
|
- name: created |
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dtype: int64 |
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- name: is_nsfw |
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dtype: bool |
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- name: is_admin |
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dtype: bool |
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- name: is_image |
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dtype: bool |
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- name: is_video |
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dtype: bool |
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- name: score_up |
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dtype: int64 |
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- name: tweet_id |
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dtype: string |
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- name: community |
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dtype: string |
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- name: is_deleted |
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dtype: bool |
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- name: is_twitter |
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dtype: bool |
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- name: score_down |
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dtype: int64 |
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- name: video_link |
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dtype: string |
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- name: raw_content |
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dtype: string |
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- name: is_moderator |
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dtype: bool |
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- name: post_flair_text |
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dtype: string |
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- name: post_flair_class |
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dtype: string |
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- name: date |
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dtype: timestamp[ns] |
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- name: author |
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dtype: string |
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- name: embedding |
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sequence: float32 |
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splits: |
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- name: train |
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num_bytes: 17187529594 |
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num_examples: 6293980 |
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download_size: 20010835367 |
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dataset_size: 17187529594 |
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configs: |
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- config_name: comments-2020 |
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data_files: |
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- split: train |
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path: comments-2020/train-* |
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- config_name: comments-2021 |
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data_files: |
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- split: train |
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path: comments-2021/train-* |
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- config_name: comments-2022 |
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data_files: |
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- split: train |
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path: comments-2022/train-* |
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- config_name: comments-2023 |
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data_files: |
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- split: train |
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path: comments-2023/train-* |
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- config_name: submissions-2020-to-2023 |
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data_files: |
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- split: train |
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path: submissions-2020-to-2023/train-* |
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size_categories: |
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- 10M<n<100M |
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--- |
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 |
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# Dataset Summary |
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`iDRAMA-Scored-2024` is a large-scale dataset containing approximately 57 million social media posts from web communities on social media platform, Scored. |
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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. |
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This dataset contains 57M posts from over 950 communities collected over four years, and includes sentence embeddings for all posts. |
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- **Scored platform:** [Scored](https://scored.co) |
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- **Link to paper:** [Here](https://arxiv.org/abs/2405.10233) |
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- **License:** [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en) |
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|
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| Repo-links | Purpose | |
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|:------|:--------------| |
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| [Zenodo](https://zenodo.org/records/10516043) | From Zenodo, researchers can download `lite` version of this dataset, which includes only 57M posts from Scored (not the sentence embeddings). | |
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| [Github](https://github.com/idramalab/iDRAMA-scored-2024) | The main repository of this dataset, where we provide code-snippets to get started with this dataset. | |
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| [Huggingface](https://hf.co/datasets/iDRAMALab/iDRAMA-scored-2024) | On Huggingface, we provide complete dataset with senetence embeddings. | |
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|
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# Quick start with Datasets |
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Install `Datasets` module by `pip install datasets` and then use the following code: |
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```python |
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from datasets import load_dataset |
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# Download & Load complete dataset |
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dataset = load_dataset("iDRAMALab/iDRAMA-scored-2024") |
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# Load dataset with specific config |
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dataset = load_dataset("iDRAMALab/iDRAMA-scored-2024", name="comments-2020") |
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``` |
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> More code-snippets to load the different variant of datasets efficiently are available on [Github](https://github.com/idramalab/iDRAMA-scored-2024) rpository. |
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|
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# Dataset Info |
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|
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Dataset is organized by yealry-comments and submissions -- comments-2020, comments-2021, comments-2022, comments-2023, submissions-2020-t0-2023. |
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|
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<table style="width:50%"> |
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<tr> |
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<th style="text-align:left">Config</th> |
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<th style="text-align:left">Data-points</th> |
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</tr> |
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<tr> |
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<td>comments-2020</td> |
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<td>12,774,203</td> |
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</tr> |
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<tr> |
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<td>comments-2021</td> |
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<td>16,097,941</td> |
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</tr> |
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<tr> |
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<td>comments-2022</td> |
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<td>12,730,301</td> |
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</tr> |
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<tr> |
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<td>comments-2023</td> |
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<td>8,919,159</td> |
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</tr> |
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<tr> |
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<td>submissions-2020-to-2023</td> |
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<td>6,293,980</td> |
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</tr> |
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</table> |
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<details> |
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<summary> <b> Top-15 communities in our dataset with total number of posts are shown as following: </b> </summary> |
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| Community | Number of posts | |
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|:------------|:---------------| |
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| c/TheDonald | 41,745,699 | |
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| c/GreatAwakening | 6,161,369 | |
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| c/IP2Always | 3,154,741 | |
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| c/ConsumeProduct | 2,263,060 | |
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| c/KotakuInAction2 | 747,215 | |
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| c/Conspiracies | 539,164 | |
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| c/Funny | 371,081 | |
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| c/NoNewNormal | 322,300 | |
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| c/OmegaCanada | 249,316 | |
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| c/Gaming | 181,469 | |
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| c/MGTOW | 175,853 | |
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| c/Christianity | 124,866 | |
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| c/Shithole | 98,720 | |
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| c/WSBets | 66,358 | |
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| c/AskWin | 39,308 | |
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|
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</details> |
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<details> |
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<summary> <b> Submission data fields are as following: </b> </summary> |
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|
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```yaml |
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- `uuid`: Unique identifier associated with each sub- mission (uuid). |
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- `created`: UTC timestamp of the submission posted to Scored platform. |
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- `date`: Date of the submission, converted from UTC timestamp while data curation. |
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- `author`: User of the submission. (Note -- We hash the userames for ethical considerations.) |
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- `community`: Name of the community in which the submission is posted to. |
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- `title`: Title of the submission. |
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- `raw_content`: Body of the submission. |
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- `embedding`: Generated embedding by combining "title" and "raw_content," with 768 dimensional vector with fp32-bit. |
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|
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- `link`: URL if the submission is a link. |
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- `type`: Indicates whether the submission is text or a link. |
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- `domain`: Base domain if the submission is a link. |
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- `tweet_id`: Associated tweet id if the submission is a Twitter link. |
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- `video_link`: Associated video link if the submission is a video. |
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- `score`: Metric about the score of sample submission. |
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- `score_up`: Metric about the up-votes casted to sample submission. |
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- `score_down`: Metric about the down-votes casted to sample submission. |
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- `is_moderator`: Whether the submission is created by moderator or not. |
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- `is_nsfw`: True, if the submission is flagged not safe for work. |
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- `is_admin`: Boolean flag about whether the submission is posted by admin. |
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- `is_image`: Boolean flag if the submission is image type of media. |
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- `is_video`: Boolean flag if the submission is type of video. |
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- `is_twitter`: Boolean flag if the submission is a twitter (now, named as X) link. |
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- `is_deleted`: Whether the submission was deleted as a moderation measure or not. If yes, the "title" and "raw_content" could be empty string. |
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|
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- `post_flair_text` & `post_flair_class`: Similar to Reddit submission flairs, which is a way to tag a submission with a certain keywords. |
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``` |
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</details> |
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<details> |
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<summary> <b> Comments data fields are as following: </b> </summary> |
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```yaml |
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- `uuid` |
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- `date` |
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- `author` |
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- `community` |
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- `raw_content` |
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- `created` |
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- `embedding` |
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- `score` |
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- `score_up` |
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- `score_down` |
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- `is_moderator` |
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- `is_deleted` |
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``` |
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</details> |
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> Read more about the fields and methodology from the [paper](https://arxiv.org/abs/2405.10233). |
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|
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### Dataset fields Nullability: |
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|
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- If field (column) doesn't have a value, the fields are left with an empty value. |
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- For instance, in the case of post deletion as a moderation measure, `title` of submission can have no value. |
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- We do not explicit mark value as "Null" for any of the column in our dataset except `embedding` column. |
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- Only, embedding column contains explicit "Null" value. |
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|
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For eliminating empty records using `pandas`, the code looks like below: |
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|
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```python |
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# Load dataset for `comments-2020` config |
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dataset = load_dataset("iDRAMALab/iDRAMA-scored-2024", name="comments-2020") |
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pd_df = dataset["train"].to_pandas() |
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# Remove all empty records based on empty `title` column |
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pd_df = pdf_df[pd_df.title != ""] |
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# Remove all records which do not have `author` information |
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pd_df = pdf_df[pd_df.author != ""] |
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# Remove all records which do not have generated embeddings |
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pd_df = pdf_df[~pd_df.embedding.isna()] |
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``` |
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|
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# Version |
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|
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- **Maintenance Status:** Active |
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- **Version Details:** |
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- *Current Version:* v1.0.0 |
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- *First Release:* 05/16/2024 |
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- *Last Update:* 05/16/2024 |
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|
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# Authorship |
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This dataset is published at "AAAI ICWSM 2024 (INTERNATIONAL AAAI CONFERENCE ON WEB AND SOCIAL MEDIA)" hosted at Buffalo, NY, USA. |
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|
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- **Academic Organization:** [iDRAMA Lab](https://idrama.science/people/) |
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- **Affiliation:** Binghamton University, Boston University, University of California Riverside |
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|
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# Licensing |
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This dataset is available for free to use under terms of the non-commercial license [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en). |
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|
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# Citation |
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|
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```bibtex |
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@misc{patel2024idramascored2024, |
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title={iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023}, |
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author={Jay Patel and Pujan Paudel and Emiliano De Cristofaro and Gianluca Stringhini and Jeremy Blackburn}, |
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year={2024}, |
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eprint={2405.10233}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.SI} |
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} |
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``` |
