| # Dataset Scripts | |
| ## divide.py | |
| `divide.py` is a script designed to split a JSONL file into two separate files based on the approximate token count of a specified text field. It detects the appropriate text field from the input JSONL and uses the median token count as a threshold to categorize the entries into "short" and "long". | |
| ### Usage | |
| To use `divide.py`, run the following command in your terminal: | |
| ```bash | |
| python divide.py --input <input_jsonl_path> --short_out <output_short_jsonl_path> --long_out <output_long_jsonl_path> | |
| ``` | |
| - `--input`: Path to the input JSONL file (required). | |
| - `--short_out`: Path to the output JSONL file for short entries (default: `short.jsonl`). | |
| - `--long_out`: Path to the output JSONL file for long entries (default: `long.jsonl`). | |
| ## ratio.py | |
| `ratio.py` is a script that creates datasets with specified positive and negative sample ratios from two JSONL files containing positive and negative samples. It randomly samples from the provided datasets to create a new dataset based on the defined configuration. | |
| ### Usage | |
| To use `ratio.py`, simply run the script: | |
| ```bash | |
| python ratio.py | |
| ``` | |
| This script will read from `positive/positive.jsonl` and `negative/negative.jsonl`, and create datasets based on the configurations defined in the script. The output files will be named `dataset_{name}.jsonl` for each configuration. | |
| ### Dataset Configurations | |
| The following configurations are available in the script: | |
| - `1_1`: 2000 total samples with a 1:1 positive to negative ratio. | |
| - `1_5`: 1200 total samples with a 1:5 positive to negative ratio. | |
| - `5_1`: 1200 total samples with a 5:1 positive to negative ratio. | |
| ## extract_members.py | |
| `extract_members.py` is a script that extracts members and non-members from a JSONL file based on the `label` field. It reads from `python_sample.jsonl`, where a `label` of `1` indicates a member and a `label` of `0` indicates a non-member. The script outputs two separate JSONL files: one for members and one for non-members. | |
| ### Usage | |
| To use `extract_members.py`, run the following command in your terminal: | |
| ```bash | |
| python extract_members.py | |
| ``` | |
| This script will read from `dataset/python_sample.jsonl` and create the following output files: | |
| - `dataset/member.jsonl`: Contains all entries with `label` equal to `1`. | |
| - `dataset/non-member.jsonl`: Contains all entries with `label` equal to `0`. | |
| ### Output | |
| After running the script, you will see a message indicating the number of extracted members and non-members. |