---
license: mit
task_categories:
- text2text-generation
language:
- en
- zh
configs:
- config_name: chatgpt-2000
  default: true
  data_files:
  - split: train
    path: "chatgpt-train-2000.jsonl"
  - split: test
    path: "chatgpt-test.jsonl"
- config_name: chatgpt-8192
  data_files:
  - split: train
    path: "chatgpt-train-8192.jsonl"
  - split: test
    path: "chatgpt-test-8192.jsonl"
---

# Introduction
This repository holds the data file for translating TechLinked, which talks about mostly technology and science news.

Raw data is in the data/ folder. Scripts generate OpenAI's ChatCompletion Fine-tuning API formatted training data in `jsonl` format.

`-2000` variants are designed to be used with GPT-3 with 8192 tokens context length limit. `-8192` variants are designed to be used with GPT-4o mini with 128000 context window and 16384 max output tokens.

# How to add data to this repository
0. `pip install ass`
1. Convert ASS file into `.en.txt` and `.cn.txt` files: `python ./ass_extract.py [ASS Filename]`  
   This step will generate two files: `Extracted - [Filename].en.txt` and `Extracted - [Filename].cn.txt`
2. Move them into the `data/` folder. You may want to rename them also, but keep their filenames the same except `.en` and `.cn`.
3. Run script: `python ./generate_chatgpt_varlen data --maxlen MAXLEN --test-ratio TEST_RATIO`
   - `data` is the data directory.
   - `MAXLEN` is recommended to be a quarter of the context window, or a little bit less than maximum output tokens, whichever is smaller.
   - `TEST_RATIO` is the ratio of data to be reserved for testing. A decimal number. Default is 0.2
   This will generate three files:
   - `combined-{MAXLEN}.jsonl`: Test+Train data.
   - `chatgpt-train-{MAXLEN}.jsonl`: Train data.
   - `chatgpt-test-{MAXLEN}.jsonl`: Test data.

The other scripts are deprecated.