The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
MoSID preprocessed data
Preprocessed item features and sequence splits for the Movies dataset in nm mode.
Layout
The files under Movies/nm/ use the same contiguous item IDs. ID 0 is reserved for padding; valid item IDs are 1 through N.
| File | Content |
|---|---|
| txt_emb.pt | Text embedding tensor, shape [N+1, 768] |
| img_emb.pt | Visual embedding tensor, shape [N+1, 768] |
| collab_emb.pt | Collaborative embedding tensor, shape [N+1, 256] |
| mod_presence.pt | Boolean tensor, shape [N+1, 2], for text and visual availability |
| mappings.pkl | Mapping dictionary containing item2id |
| train.pkl | Training item_seqs and labels |
| valid.pkl | Validation item_seqs and labels |
| test.pkl | Test item_seqs and labels |
Place the Movies directory under datasets/amazon/ in the MoSID source repository. Semantic IDs and codebook weights are generated by the Stage 1 training and export commands provided in the source repository.
Integrity
SHA256SUMS.txt contains the SHA-256 hashes of the released data files.
Serialization
The .pt files contain PyTorch tensors. The .pkl files use Python pickle. Only load serialized files from a trusted source.
- Downloads last month
- 35