metadata
configs:
- config_name: default
data_files:
- split: train
path: data/train.parquet
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: rejected
dtype: string
splits:
- name: train
num_examples: 818
size_categories:
- n<1K
license: mit
RL-Claude-Creative-Writing-DPO
Alpaca-format dataset. Columns: instruction, input, output, rejected
from datasets import load_dataset
ds = load_dataset("SLoonker/RL-Claude-Creative-Writing-DPO", split="train")
Xet Storage Details
- Size:
- 593 Bytes
- Xet hash:
- 81a511442aac9f8094666310157e6257f390c064713b0c50115faa208d6872ac
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