query_topic_detection_mapper

Predicts the topic label and its corresponding score for a given query. The input is taken from the specified query key. The output, which includes the predicted topic label and its score, is stored in the ‘query_topic_label’ and ‘query_topic_label_score’ fields of the Data-Juicer meta field. This operator uses a Hugging Face model for topic classification. If a Chinese to English translation model is provided, it will first translate the query from Chinese to English before predicting the topic.

  • Uses a Hugging Face model for topic classification.

  • Optionally translates Chinese queries to English using another Hugging Face model.

  • Stores the predicted topic label in ‘query_topic_label’.

  • Stores the corresponding score in ‘query_topic_label_score’.

预测给定查询的主题标签及其对应分数。输入来自指定的查询键。输出包括预测的主题标签及其分数，存储在 Data-Juicer meta 字段的 ‘query_topic_label’ 和 ‘query_topic_label_score’ 字段中。此算子使用 Hugging Face 模型进行主题分类。如果提供了中文到英文的翻译模型，它会先将查询从中文翻译成英文再预测主题。

  • 使用 Hugging Face 模型进行主题分类。

  • 可选地使用另一个 Hugging Face 模型将中文查询翻译成英文。

  • 将预测的主题标签存储在 ‘query_topic_label’ 中。

  • 将相应的分数存储在 ‘query_topic_label_score’ 中。

Type 算子类型: mapper

Tags 标签: cpu, hf, hf

🔧 Parameter Configuration 参数配置

name 参数名

type 类型

default 默认值

desc 说明

hf_model

<class ‘str’>

'dstefa/roberta-base_topic_classification_nyt_news'

Huggingface model ID to predict topic label.

zh_to_en_hf_model

typing.Optional[str]

'Helsinki-NLP/opus-mt-zh-en'

Translation model from Chinese to English.

model_params

typing.Dict

{}

model param for hf_model.

zh_to_en_model_params

typing.Dict

{}

model param for zh_to_hf_model.

label_key

<class ‘str’>

'query_topic_label'

The key name in the meta field to store the

score_key

<class ‘str’>

'query_topic_label_score'

The key name in the meta field to store the

kwargs

''

Extra keyword arguments.

📊 Effect demonstration 效果演示

not available 暂无