File size: 2,140 Bytes
7c19a19 d41b45d 7c19a19 a51a34e 27fdc5d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 |
---
configs:
- config_name: default
data_files:
- split: '100'
path: data/100-*
- split: '150'
path: data/150-*
- split: '175'
path: data/175-*
- split: '200'
path: data/200-*
- split: '250'
path: data/250-*
- split: '300'
path: data/300-*
- split: '400'
path: data/400-*
- split: '500'
path: data/500-*
- split: '600'
path: data/600-*
- split: '680'
path: data/680-*
- split: '750'
path: data/750-*
- split: '850'
path: data/850-*
- split: '950'
path: data/950-*
- split: '1100'
path: data/1100-*
dataset_info:
features:
- name: expected_number
dtype: int64
- name: num_lines
dtype: int64
- name: token_size
dtype: int64
- name: prompt
dtype: string
splits:
- name: '100'
num_bytes: 275673
num_examples: 50
- name: '150'
num_bytes: 400446
num_examples: 50
- name: '175'
num_bytes: 463159
num_examples: 50
- name: '200'
num_bytes: 525856
num_examples: 50
- name: '250'
num_bytes: 650643
num_examples: 50
- name: '300'
num_bytes: 775800
num_examples: 50
- name: '400'
num_bytes: 1025288
num_examples: 50
- name: '500'
num_bytes: 1276039
num_examples: 50
- name: '600'
num_bytes: 1524627
num_examples: 50
- name: '680'
num_bytes: 1724325
num_examples: 50
- name: '750'
num_bytes: 1899422
num_examples: 50
- name: '850'
num_bytes: 2149220
num_examples: 50
- name: '950'
num_bytes: 2398398
num_examples: 50
- name: '1100'
num_bytes: 2772556
num_examples: 50
download_size: 7270406
dataset_size: 17861452
---
# Dataset Card for "LongChat-Lines"
This dataset is was used to evaluate the performance of model finetuned to operate on longer contexts. It is based on
a task template proposed by LMSys to evaluate attention to arbitrary points in the context. See the full details at
[https;//github.com/abacusai/Long-Context](https://github.com/abacusai/Long-Context). |