qazi-ali/llama_2-optimized-titles-esci-sft-train
收藏Hugging Face2023-08-31 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/qazi-ali/llama_2-optimized-titles-esci-sft-train
下载链接
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资源简介:
---
dataset_info:
features:
- name: product_title
dtype: string
- name: text
dtype: string
- name: preds
dtype: string
- name: clean_preds
dtype: string
- name: average_score
dtype: float64
- name: new_score
dtype: float64
- name: good_pred
dtype: string
- name: bad_pred
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 7899569.0
num_examples: 5674
download_size: 4322617
dataset_size: 7899569.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "llama_2-optimized-titles-esci-sft-train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
qazi-ali
原始信息汇总
数据集概述
数据集信息
特征
- product_title: 类型为字符串
- text: 类型为字符串
- preds: 类型为字符串
- clean_preds: 类型为字符串
- average_score: 类型为浮点数 (float64)
- new_score: 类型为浮点数 (float64)
- good_pred: 类型为字符串
- bad_pred: 类型为字符串
- index_level_0: 类型为整数 (int64)
数据分割
- train: 包含5674个样本,占用7899569.0字节
数据集大小
- 下载大小: 4322617字节
- 数据集大小: 7899569.0字节
配置
- config_name: default
- data_files:
- split: train
- path: data/train-*
- split: train
- data_files:



