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--- |
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license: mit |
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task_categories: |
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- text2text-generation |
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language: |
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- en |
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- zh |
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configs: |
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- config_name: chatgpt-2000 |
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default: true |
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data_files: |
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- split: train |
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path: "chatgpt-train-2000.jsonl" |
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- split: test |
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path: "chatgpt-test.jsonl" |
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- config_name: chatgpt-8192 |
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data_files: |
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- split: train |
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path: "chatgpt-train-8192.jsonl" |
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- split: test |
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path: "chatgpt-test-8192.jsonl" |
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--- |
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# Introduction |
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This repository holds the data file for translating TechLinked, which talks about mostly technology and science news. |
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Raw data is in the data/ folder. Scripts generate OpenAI's ChatCompletion Fine-tuning API formatted training data in `jsonl` format. |
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`-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. |
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# How to add data to this repository |
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0. `pip install ass` |
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1. Convert ASS file into `.en.txt` and `.cn.txt` files: `python ./ass_extract.py [ASS Filename]` |
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This step will generate two files: `Extracted - [Filename].en.txt` and `Extracted - [Filename].cn.txt` |
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2. Move them into the `data/` folder. You may want to rename them also, but keep their filenames the same except `.en` and `.cn`. |
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3. Run script: `python ./generate_chatgpt_varlen data --maxlen MAXLEN --test-ratio TEST_RATIO` |
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- `data` is the data directory. |
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- `MAXLEN` is recommended to be a quarter of the context window, or a little bit less than maximum output tokens, whichever is smaller. |
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- `TEST_RATIO` is the ratio of data to be reserved for testing. A decimal number. Default is 0.2 |
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This will generate three files: |
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- `combined-{MAXLEN}.jsonl`: Test+Train data. |
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- `chatgpt-train-{MAXLEN}.jsonl`: Train data. |
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- `chatgpt-test-{MAXLEN}.jsonl`: Test data. |
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The other scripts are deprecated. |
