jorgeortizfuentes/sfl_automatization_spanish_attitude

---
dataset_info:
features:
- name: id
dtype: int64
- name: tokens
sequence: string
- name: att_tags
sequence:
class_label:
names:
'0': B-Affect
'1': I-Positive
'2': B-Positive
'3': B-Judgment (J1)
'4': B-tenacity (J3)
'5': B-Negative
'6': I-capacity (J3)
'7': I-Appreciation
'8': B-capacity (J3)
'9': I-tenacity (J3)
'10': B-Social Esteem (J2)
'11': I-Negative
'12': O
'13': B-Appreciation
'14': I-Affect
'15': B-Social Sanction (J2)
'16': I-propriety (J3)
'17': I-veracity (J3)
'18': B-normality (J3)
'19': I-Social Sanction (J2)
'20': B-propriety (J3)
'21': B-veracity (J3)
'22': I-normality (J3)
'23': I-Judgment (J1)
'24': I-Social Esteem (J2)
splits:
- name: train
num_bytes: 1492776.194221509
num_examples: 1993
- name: validation
num_bytes: 373755.8057784912
num_examples: 499
download_size: 486331
dataset_size: 1866532.0
---
# Dataset Card for "sfl_automatization_spanish_attitude"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

This dataset is primarily used for analyzing emotions and attitudes in Spanish. It includes three main features: id (integer type), tokens (string sequence), and att_tags (sequence containing multiple class labels). The class labels in the att_tags sequence represent various emotions and attitudes such as positive, negative, and social evaluations. The dataset is divided into a training set and a validation set, containing 1993 and 499 samples respectively. The total download size of the dataset is 486331 bytes, and the total size is 1866532 bytes.

原始信息汇总

数据集概述

特征信息

• id: 数据类型为 int64。
• tokens: 序列类型，数据类型为 string。
• att_tags: 序列类型，包含以下类别标签：
  • 0: B-Affect
  • 1: I-Positive
  • 2: B-Positive
  • 3: B-Judgment (J1)
  • 4: B-tenacity (J3)
  • 5: B-Negative
  • 6: I-capacity (J3)
  • 7: I-Appreciation
  • 8: B-capacity (J3)
  • 9: I-tenacity (J3)
  • 10: B-Social Esteem (J2)
  • 11: I-Negative
  • 12: O
  • 13: B-Appreciation
  • 14: I-Affect
  • 15: B-Social Sanction (J2)
  • 16: I-propriety (J3)
  • 17: I-veracity (J3)
  • 18: B-normality (J3)
  • 19: I-Social Sanction (J2)
  • 20: B-propriety (J3)
  • 21: B-veracity (J3)
  • 22: I-normality (J3)
  • 23: I-Judgment (J1)
  • 24: I-Social Esteem (J2)

数据分割

• train: 包含 1993 个样本，占用 1492776.194221509 字节。
• validation: 包含 499 个样本，占用 373755.8057784912 字节。

数据集大小

• 下载大小: 486331 字节
• 数据集大小: 1866532.0 字节