dkoplow/ZKL-cd

---
pretty_name: ZKL CD (parquet)
tags:
- rlhf
- cd
---

# ZKL CD (parquet)

This dataset contains the `cd` split exported by `gen_hf_ds.py`.
Rows are deduplicated and split into `train` and `val`, with `val` containing
2000 examples. You must comply with the licenses and terms of the upstream
dataset.

## Layout

- `train/data/train.parquet`
- `val/data/val.parquet`

## Columns

- `dataset`: always `"cd"`
- `prompt`: chat list of `{"role", "content"}` dicts
- `label`: Countdown ground truth list.
- `id`: stable string id

## Load with `datasets`

```python
from datasets import load_dataset

repo = "dkoplow/ZKL-cd"
train = load_dataset(
"parquet",
data_files=f"hf://datasets/{repo}/train/data/train.parquet",
split="train",
)
val = load_dataset(
"parquet",
data_files=f"hf://datasets/{repo}/val/data/val.parquet",
split="train",
)
```

---
数据集名称：ZKL CD（Parquet格式）
标签：
- 人类反馈强化学习（Reinforcement Learning from Human Feedback，RLHF）
- cd
---

# ZKL CD（Parquet格式）

本数据集包含由`gen_hf_ds.py`导出的`cd`拆分数据。所有行已完成去重，并划分为训练集（train）与验证集（val），其中验证集包含2000条样本。使用本数据集需遵守上游数据集的许可协议与使用条款。

## 数据布局

- `train/data/train.parquet`
- `val/data/val.parquet`

## 字段说明

- `dataset`：固定为字符串`"cd"`
- `prompt`：包含`{"role", "content"}`键值对的对话列表
- `label`：倒计时任务的真实标签列表
- `id`：稳定的字符串型唯一标识符

## 使用`datasets`库加载

python
from datasets import load_dataset

repo = "dkoplow/ZKL-cd"
train = load_dataset(
"parquet",
data_files=f"hf://datasets/{repo}/train/data/train.parquet",
split="train",
)
val = load_dataset(
"parquet",
data_files=f"hf://datasets/{repo}/val/data/val.parquet",
split="train",
)