dvilasuero/somos-alpaca-es-intro
收藏Hugging Face2023-04-09 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/dvilasuero/somos-alpaca-es-intro
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资源简介:
---
dataset_info:
features:
- name: text
dtype: 'null'
- name: inputs
struct:
- name: 1-instruction
dtype: string
- name: 2-input
dtype: string
- name: 3-output
dtype: string
- name: prediction
list:
- name: label
dtype: string
- name: score
dtype: float64
- name: prediction_agent
dtype: string
- name: annotation
dtype: string
- name: annotation_agent
dtype: string
- name: vectors
struct:
- name: input
sequence: float64
- name: instruction
sequence: float64
- name: output
sequence: float64
- name: multi_label
dtype: bool
- name: explanation
dtype: 'null'
- name: id
dtype: string
- name: metadata
dtype: 'null'
- name: status
dtype: string
- name: event_timestamp
dtype: timestamp[us]
- name: metrics
struct:
- name: text_length
dtype: int64
splits:
- name: train
num_bytes: 11389691
num_examples: 606
download_size: 0
dataset_size: 11389691
---
# Dataset Card for "somos-alpaca-es-intro"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
dvilasuero
原始信息汇总
数据集信息
特征
- text: 数据类型为
null - inputs: 结构化数据
- 1-instruction: 数据类型为
string - 2-input: 数据类型为
string - 3-output: 数据类型为
string
- 1-instruction: 数据类型为
- prediction: 列表数据
- label: 数据类型为
string - score: 数据类型为
float64
- label: 数据类型为
- prediction_agent: 数据类型为
string - annotation: 数据类型为
string - annotation_agent: 数据类型为
string - vectors: 结构化数据
- input: 序列数据类型为
float64 - instruction: 序列数据类型为
float64 - output: 序列数据类型为
float64
- input: 序列数据类型为
- multi_label: 数据类型为
bool - explanation: 数据类型为
null - id: 数据类型为
string - metadata: 数据类型为
null - status: 数据类型为
string - event_timestamp: 数据类型为
timestamp[us] - metrics: 结构化数据
- text_length: 数据类型为
int64
- text_length: 数据类型为
数据分割
- train: 包含 606 个样本,占用 11389691 字节
数据集大小
- 下载大小: 0 字节
- 数据集大小: 11389691 字节



