| --- |
| license: cc-by-4.0 |
| language: |
| - en |
|
|
| configs: |
| - config_name: benchmark |
| data_files: |
| - split: posts |
| path: bluesky/thread_metadata_updated_added.parquet |
| --- |
| # MMG-Pop Benchmark Dataset |
|
|
| This dataset supports the **MMG-Pop (Multimodal Graph-based Popularity Prediction) Benchmark**. |
|
|
| ## Directory Overview |
|
|
| ### `metadata/` |
|
|
| Contains the full cascade files for each dataset. These files are the main source for labels, post content, and complete conversation structure. |
|
|
| #### `thread_metadata_updated_added.parquet` or `reddit_*_metadata.parquet` |
| |
| One row per discussion tree or thread. Includes cascade-level metadata and final prediction targets, such as: |
| |
| - width |
| - depth |
| - virality |
| - size (given as num_posts) |
| - unique users |
| - like score (given as score in Reddit datasets or like_count in Bluesky) |
| |
| #### `thread_posts_with_all_labels2.parquet` or `reddit_*_posts.parquet` |
| |
| One row per post or comment in the full cascade. Contains raw post text and post-level fields used to build node features and reconstruct the conversation tree. |
| |
| #### `user_degrees.csv` |
|
|
| Bluesky-only auxiliary file mapping users to follower counts. Used to derive root-user follower features. |
|
|
| --- |
|
|
| ### `snapshots/` |
|
|
| Contains early-window versions of the cascade graph. These are the forecasting inputs: what the model observes after only the first few minutes of cascade growth. |
|
|
| #### `edges_{window}min.parquet` |
| |
| Reply edges observed within a specific early window. Defines the partial graph structure at that time. |
| |
| #### `meta_{window}min.parquet` |
|
|
| Cascade-level snapshot records for the same window. Used to identify valid trees at that early stage and align them with the full metadata and post files. |
|
|
| --- |
|
|
| ### `splits/` |
|
|
| Optional saved train, validation, and test splits for reproducibility. |
|
|
| #### `train_ids_*.npy`, `val_ids_*.npy`, `test_ids_*.npy` |
| |
| Lists of cascade IDs assigned to each split for a given observation window. |
| |
| --- |
| |
| ### `future_horizons/` |
| |
| Optional files for future-horizon prediction beyond the default final-state prediction setting. |
| |
| #### `gt_4h.parquet`, `gt_8h.parquet`, `gt_16h.parquet`, `gt_24h.parquet` |
| |
| Ground-truth cascade outcomes measured at intermediate future times. |
| |
| #### `valid_mask.parquet` |
| |
| Marks which cascade/horizon pairs are valid and should be used for training or evaluation. |
| |
| --- |
| |
| ## File Structure |
| |
| ```text |
| bluesky/ |
| metadata/ |
| thread_metadata_updated_added.parquet |
| thread_posts_with_all_labels2.parquet |
| user_degrees.csv |
| snapshots/ |
| edges_2min.parquet |
| meta_2min.parquet |
| edges_10min.parquet |
| meta_10min.parquet |
| splits/ |
| train_ids_2min.npy |
| val_ids_2min.npy |
| test_ids_2min.npy |
| train_ids_10min.npy |
| val_ids_10min.npy |
| test_ids_10min.npy |
| future_horizons/ |
| gt_4h.parquet |
| gt_8h.parquet |
| gt_16h.parquet |
| gt_24h.parquet |
| valid_mask.parquet |
| |
| reddit/ |
| gaming/ |
| metadata/ |
| reddit_gaming_metadata.parquet |
| reddit_gaming_posts.parquet |
| snapshots/ |
| edges_20min.parquet |
| meta_20min.parquet |
| edges_50min.parquet |
| meta_50min.parquet |
| splits/ |
| train_ids_20min.npy |
| val_ids_20min.npy |
| test_ids_20min.npy |
| train_ids_50min.npy |
| val_ids_50min.npy |
| test_ids_50min.npy |
| future_horizons/ |
| gt_4h.parquet |
| gt_8h.parquet |
| gt_16h.parquet |
| gt_24h.parquet |
| valid_mask.parquet |
| |
| futurology/ |
| metadata/ |
| reddit_futurology_metadata.parquet |
| reddit_futurology_posts.parquet |
| snapshots/ |
| edges_90min.parquet |
| meta_90min.parquet |
| splits/ |
| train_ids_90min.npy |
| val_ids_90min.npy |
| test_ids_90min.npy |
| future_horizons/ |
| gt_4h.parquet |
| gt_8h.parquet |
| gt_16h.parquet |
| gt_24h.parquet |
| valid_mask.parquet |
| |
| ama/ |
| metadata/ |
| reddit_ama_metadata.parquet |
| reddit_ama_posts.parquet |
| snapshots/ |
| edges_30min.parquet |
| meta_30min.parquet |
| splits/ |
| train_ids_15min.npy |
| val_ids_15min.npy |
| test_ids_15min.npy |
| train_ids_30min.npy |
| val_ids_30min.npy |
| test_ids_30min.npy |
| future_horizons/ |
| gt_4h.parquet |
| gt_8h.parquet |
| gt_16h.parquet |
| gt_24h.parquet |
| valid_mask.parquet |
