metadata
dataset_info:
features:
- name: prompt_text
dtype: string
- name: prompt_ids
sequence: int64
- name: decode_ids
sequence: int64
- name: prompt_pattern
sequence:
sequence: int64
- name: decode_pattern
sequence:
sequence: int64
splits:
- name: train
num_bytes: 483379455
num_examples: 32808
download_size: 46650593
dataset_size: 483379455
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- prompt_ids:
[ 1593, 10, 3547, 6180, 7836, 489, 33, 66, 1 ] - prompt_pattern:
[ [ 14, 12, 17, 17, 17, 17, 10, 4, 12 ], [ 15, 17, 18, 18, 18, 5, 21, 12, 15 ], [ 2, 7, 22, 23, 23, 23, 31, 2, 31 ], [ 8, 8, 2, 2, 2, 2, 28, 7, 8 ], [ 0, 12, 7, 13, 13, 7, 11, 8, 11 ], [ 2, 19, 14, 8, 14, 14, 13, 16, 4 ] ]
[ 14, 12, 17, 17, 17, 17, 10, 4, 12 ]表示 9 个 prompt ids 在encoder第一个moe 层激活的 expert 索引值。例如 token 1593 在encoder 第一层moe 激活的 expert 是 14.