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 |
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[59,2809,90,37155,630,3966,315,279,15811,13966,304,279,10126,315,2477,87289,332,1388,476,198,30448,3(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 18,462 | 1 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) |
[59,2809,90,37155,630,94780,16595,320,2104,8,12378,11,715,20805,438,68967,40069,320,11237,8,323,6896(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 17,000 | 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) |
[59,2809,90,37155,532,4498,15732,1276,3684,304,264,40899,5476,374,65800,198,19530,50401,825,80199,93(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 4,990 | 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) |
[59,2809,35702,1502,90,5024,14337,299,92,37155,532,715,79753,54581,315,2477,12,780,1103,9289,13142,3(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 13,528 | 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) |
[59,2809,90,37155,630,1918,279,1537,13212,11,31658,44375,910,17392,51667,77413,18523,198,7,5863,1162(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 6,511 | 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) |
[59,2809,90,37155,532,59,1502,90,5024,14337,16741,532,32,67606,315,23722,614,6069,311,7683,279,5297,(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 10,620 | 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) |
[271,59,2809,90,37155,92,1124,1502,90,5024,14337,16741,92,220,1124,1355,90,396,16741,532,59,2809,90,(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 16,894 | 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) |
[59,2809,90,396,16741,532,25140,18335,315,467,1195,75,5234,85266,1127,320,7433,21634,8,93,59,67075,9(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 6,470 | 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) |
[59,2809,90,37155,630,1109,627,278,304,947,5284,572,1156,38664,311,387,315,6961,2734,979,432,572,150(...TRUNCATED) | [-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED) | 20,000 | 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-PT-Qwen2-7B-Instruct-chunk32-data
This is the continue pretraining dataset used for training GSA (Gist Sparse Attention) models based on Qwen2-7B-Instruct with chunk size chunk32.
Each sample is tokenized and formatted with GSA gist tokens for continue pretraining.
Paper
GSA: Gist Sparse Attention via Learnable Compression and Selective Unfolding
Related Model
- yuzhenm/GSA-PT-Qwen2-7B-Instruct-chunk32 — model trained on this dataset
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