SSA
Collection
Models and Datasets of paper: [Simplified Sparse Attention via Gist Tokens] • 30 items • Updated
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input_ids list | labels list | length int64 | index int64 | attention_mask list |
|---|---|---|---|---|
[151644,8948,198,2610,525,264,10950,151646,17847,13,151645,198,151644,872,151646,198,17938,1447,715,(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 20,127 | 0 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
[151644,8948,198,2610,525,264,10950,151646,17847,13,151645,198,151644,872,151646,198,1972,1995,374,1(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 19,962 | 1 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
[151644,8948,198,2610,525,264,10950,151646,17847,13,151645,198,151644,872,151646,198,38214,18404,825(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 18,415 | 2 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
[151644,8948,198,2610,525,264,10950,151646,17847,13,151645,198,151644,872,151646,198,1972,1995,374,1(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 19,453 | 3 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
[151644,8948,198,2610,525,264,10950,151646,17847,13,151645,198,151644,872,151646,198,2610,2299,264,1(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 11,464 | 4 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
[151644,8948,198,2610,525,264,10950,151646,17847,13,151645,198,151644,872,151646,198,2610,2299,264,1(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 19,160 | 5 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
[151644,8948,198,2610,525,264,10950,151646,17847,13,151645,198,151644,872,151646,198,17938,1447,7941(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 19,790 | 6 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
[151644,8948,198,2610,525,264,10950,151646,17847,13,151645,198,151644,872,151646,198,40,1366,498,151(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 20,501 | 7 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
[151644,8948,198,2610,525,264,10950,151646,17847,13,151645,198,151644,872,151646,198,2610,2299,264,1(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 19,296 | 8 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
[151644,8948,198,2610,525,264,10950,151646,17847,13,151645,198,151644,872,151646,198,4418,279,2701,1(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 18,945 | 9 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
End of preview.
GSA-FT-Qwen2-7B-Instruct-chunk4-chunk4-data
This is the supervised fine-tuning dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk4-chunk4.
Each sample is tokenized and formatted with GSA gist tokens for supervised fine-tuning.
Paper
GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding
Related Model
- yuzhenm/GSA-FT-Qwen2-7B-Instruct-chunk4-chunk4 — model trained on this dataset
- Downloads last month
- 119
Source
: QA instruction-tuning data formatted with GSA gist tokens.
Chunk size
chunk4-chunk4
Total file size:
5.54 GB