|
|
--- |
|
|
license: mit |
|
|
task_categories: |
|
|
- text-generation |
|
|
tags: |
|
|
- code |
|
|
configs: |
|
|
- config_name: default |
|
|
data_files: |
|
|
- split: train |
|
|
path: data/train-* |
|
|
- split: val |
|
|
path: data/val-* |
|
|
dataset_info: |
|
|
features: |
|
|
- name: prompt |
|
|
dtype: string |
|
|
- name: output |
|
|
sequence: string |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 1252371 |
|
|
num_examples: 6015 |
|
|
- name: val |
|
|
num_bytes: 65996 |
|
|
num_examples: 317 |
|
|
download_size: 50645 |
|
|
dataset_size: 1318367 |
|
|
--- |
|
|
|
|
|
This is a dataset for CFG-based GflowNet development. |
|
|
The ebnf style CFG for numbers are: |
|
|
|
|
|
``` |
|
|
root ::= number_list |
|
|
|
|
|
number_list ::= number (number_list)? |
|
|
|
|
|
number ::= odd even | even odd |
|
|
|
|
|
even ::= "0," | "2," | "4," | "6," | "8," | "10," | "12," | "14," | "16," | "18," | "20," |
|
|
|
|
|
odd ::= "1," | "3," | "5," | "7," | "9," | "11," | "13," | "15," | "17," | "19," |
|
|
|
|
|
``` |
|
|
|
|
|
However, this CFG cannot satisfy all the requirments. The CFG give a chunk of numbers where the transition between chunks always failed to satisfy our requirment: |
|
|
|
|
|
**Total correct ≤ Total grammar Agreed** |
|
|
|
|
|
~6332/100000 (how many correct numbers in CFG generated numbers) |
|
|
|
|
|
So we need RL or Gflow to bridge the gap between CFG and the targets. |
