text stringlengths 10.2k 1.04M | source stringclasses 6
values | token_length int64 8.19k 730k | actual_len int64 8.19k 8.19k | mean_distance float64 1.55k 2.71k | local_ratio float64 0.06 0.16 | entropy float64 0.72 0.89 | classifier_score null | label stringclasses 3
values |
|---|---|---|---|---|---|---|---|---|
Part 9 out of 21
"How do you do, Esther?" said she. "Do you recollect me?"
I gave her my hand and told her yes and that she was very little
"I wonder you remember those times, Esther," she returned with her
old asperity. "They are changed now. Well! I am glad to see you,
and glad you are not too proud to know me." But ... | fineweb | 23,432 | 8,192 | 2,112.903291 | 0.110345 | 0.824389 | null | ambiguous |
// Copyright 2019 Kaleido
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, s... | stack_go | 11,493 | 8,192 | 2,035.520243 | 0.122488 | 0.789693 | null | ambiguous |
"/*\n **** BEGIN LICENSE BLOCK *****\n * Version: EPL 1.0/GPL 2.0/LGPL 2.1\n *\n * The contents of t(...TRUNCATED) | stack_java | 40,722 | 8,192 | 1,933.178472 | 0.128583 | 0.795993 | null | low |
"# -*- coding: utf-8 -*-\n# Generated by the protocol buffer compiler. DO NOT EDIT!\n# source: tens(...TRUNCATED) | stack_python | 23,772 | 8,192 | 1,972.840603 | 0.093905 | 0.788319 | null | ambiguous |
"# Copyright 2009 by Peter Cock. All rights reserved.\n# This code is part of the Biopython distrib(...TRUNCATED) | stack_python | 9,699 | 8,192 | 1,955.489943 | 0.108716 | 0.793965 | null | ambiguous |
"# -*- coding: utf-8 -*-\nr\"\"\"\nHyperplane Arrangements\n\nBefore talking about hyperplane arrang(...TRUNCATED) | stack_python | 35,690 | 8,192 | 2,002.104228 | 0.11943 | 0.801868 | null | ambiguous |
"The President's Corner From the Editorís Desk\nLaurels and Darts Letters to the Editor\nOld New Or(...TRUNCATED) | fineweb | 28,371 | 8,192 | 2,058.800885 | 0.121537 | 0.797659 | null | ambiguous |
"May 25, 2005\nAt Last, The Final\nThis is it. My last post here on Idol Tongues.\nI'd like to take (...TRUNCATED) | fineweb | 8,368 | 8,192 | 2,179.011948 | 0.091953 | 0.838377 | null | high |
"# Copyright (c) 2011 X.commerce, a business unit of eBay Inc.\n# Copyright 2010 United States Gover(...TRUNCATED) | stack_python | 18,793 | 8,192 | 1,986.135519 | 0.125956 | 0.798687 | null | low |
"// Copyright (c) 2011-2017 The Bitcoin Core developers\n// Distributed under the MIT software licen(...TRUNCATED) | stack_c++ | 8,249 | 8,192 | 1,984.963847 | 0.136907 | 0.78823 | null | low |
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Check out the documentation for more information.
Qwen 8K Attention Gold Labels
4,998 text samples with attention pattern metrics extracted from Qwen2.5-7B-Instruct at 8K context length (layer 14).
Sources
| Source | Samples |
|---|---|
| fineweb | 833 |
| stack_python | 833 |
| stack_java | 833 |
| stack_go | 833 |
| stack_c++ | 833 |
| stack_javascript | 833 |
Columns
- text - Full document text
- source - Data source (fineweb or stack_*)
- token_length - Requested context length
- actual_len - Actual tokens processed (8192)
- mean_distance - Average attention distance in tokens
- local_ratio - Fraction of attention within 128-token window
- entropy - Normalized attention entropy (0-1)
- label - high/low/ambiguous based on attention patterns
Usage
from datasets import load_dataset
ds = load_dataset("KevinDavidHayes/qwen-8k-attention-gold")
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