SSA
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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 |
|---|---|---|---|---|
[151644,8948,198,2610,525,264,10950,17847,13,151645,198,151644,872,198,17938,1447,715,2,479,4402,151(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 17,407 | 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) |
[151644,8948,198,2610,525,264,10950,17847,13,151645,198,151644,872,198,1972,1995,374,3685,510,151646(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 17,125 | 1 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
[151644,8948,198,2610,525,264,10950,17847,13,151645,198,151644,872,198,38214,18404,825,476,3807,1516(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 17,198 | 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) |
[151644,8948,198,2610,525,264,10950,17847,13,151645,198,151644,872,198,1972,1995,374,3685,510,151646(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 17,699 | 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) |
[151644,8948,198,2610,525,264,10950,17847,13,151645,198,151644,872,198,2610,2299,264,7785,2311,15164(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 10,196 | 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) |
[151644,8948,198,2610,525,264,10950,17847,13,151645,198,151644,872,198,2610,2299,264,7785,2311,15164(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 17,224 | 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) |
[151644,8948,198,2610,525,264,10950,17847,13,151645,198,151644,872,198,17938,1447,7941,53199,8305,15(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 17,606 | 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) |
[151644,8948,198,2610,525,264,10950,17847,13,151645,198,151644,872,198,40,1366,498,1349,279,151646,2(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 17,557 | 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) |
[151644,8948,198,2610,525,264,10950,17847,13,151645,198,151644,872,198,2610,2299,264,7785,2311,15164(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 16,920 | 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) |
[151644,8948,198,2610,525,264,10950,17847,13,151645,198,151644,872,198,4418,279,2701,2266,382,151646(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 17,703 | 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-chunk16-data
This is the supervised fine-tuning dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk16.
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-chunk16 — model trained on this dataset
- Downloads last month
- 74
Source
: QA instruction-tuning data formatted with GSA gist tokens.
Chunk size
chunk16
Total file size:
4.98 GB