如何为类似Falcon-7b/40b的模型创建数据集?

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英文:

How to create a dataset for a model like Falcon-7b/40b?

问题

我有docx文件作为数据,并希望使用它们来对Falcon模型进行微调。从我所看到的情况来看,用于训练该模型的数据是以json格式存储的。我应该如何将我的数据转换成对模型有用的格式呢?

目前,我正在尝试将我的数据转换成json格式,但手工完成这项工作相当繁琐。

英文:

I am having the data as docx files and I want to use them to fine-tune the Falcon model. From what I see the data used to train the model was in json format. How can I convert my data in a format to be useful for the model?

Currently I am trying to convert my data in the json format, but it's a tedious work to do by hand.

答案1

得分: 1

To convert your data from DOCX format to JSON format, you can use the python-docx library to extract text from a DOCX file and convert it to JSON:

import json
from docx import Document

# Load the DOCX file
doc = Document('input.docx')

# Extract text content
text = 

# Create JSON objects json_data = [] for paragraph in text: json_data.append({"text": paragraph}) # Save as JSON with open('output.json', 'w') as json_file: json.dump(json_data, json_file)

英文:

To convert your data from DOCX format to JSON format, you can use python-docx library to extract text from a DOCX file and convert it to JSON:

import json
from docx import Document

 # Load the DOCX file
doc = Document('input.docx')

# Extract text content
text = 

# Create JSON objects json_data = [] for paragraph in text: json_data.append({"text": paragraph}) # Save as JSON with open('output.json', 'w') as json_file: json.dump(json_data, json_file)

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  • 本文由 发表于 2023年7月4日 20:54:26
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