File size: 3,294 Bytes
804c12f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 |
# Chat Data Pipeline
This repository helps to clean, filter and deduplicate conversation datasets.
Open Source Community rules the world, so please contribute: open Pull Request or create an Issue.
Star this repository:
[](https://github.com/AlekseyKorshuk/chat-data-pipeline)
## Quick Start
Clone and install dependencies:
```shell
git clone https://github.com/AlekseyKorshuk/chat-data-pipeline
cd chat-data-pipeline
pip install -r requirements.txt
```
We will prepare very small dataset of instructions:
```shell
python3 main.py --config_path ./experiments/tiny-example.yaml
```
You can take a look at the YAML file to discover the structure of the config.
Initial dataset has the following structure of one sample:
```json
{
"conversation": [
{
"content": "Explain the main differences between an alligator and a crocodile.",
"do_train": false,
"role": "User"
},
{
"content": "Alligators and crocodiles belong to the same order, Crocodilia, but they have several differences. 1) Shape of the snout: Alligators have a U-shaped, wider snout, while crocodiles have a more pointed, V-shaped snout. 2) Teeth placement: In an alligator, lower teeth are mostly hidden when its mouth is closed, while in a crocodile, the fourth lower tooth is visible even when the mouth is closed. 3) Habitat: Alligators are mostly found in freshwater habitats such as swamps and rivers, while crocodiles can be found in both freshwater and saltwater habitats. 4) Distribution: Alligators are mainly found in the southeastern United States and parts of China, whereas crocodiles have a more widespread distribution across Africa, Asia, the Americas, and Australia.",
"do_train": true,
"role": "Assistant"
}
]
}
```
This example could have more conversation turns: User, Assistant, User, Assistant...
As well role can be "System" at the very first item in the list.
# Custom Setup
In general, you can use this for any dataset that has a string column. Here is an example usage:
```python
from datasets import load_dataset
from chat_data_pipeline import utils
from chat_data_pipeline.preprocessor import DataPreprocessor
from chat_data_pipeline import cleaners as cln
from chat_data_pipeline import filters as ftr
dataset = load_dataset("AlekseyKorshuk/tiny-imdb", split="train")
deduplication_config = {
'do_deduplication': True,
'minhash_config': {
'ngram_size': 5,
'num_perm': 256,
'threshold': 0.7,
'min_ngram_size': 5
}
}
cleaners = [cln.fix_utf8_encoding, cln.normalize_punctuation, cln.remove_empty_lines]
filters = [
utils.custom_partial(ftr.check_word_number,
min_word_threshold=0,
max_word_threshold=10000),
]
preprocessor = DataPreprocessor(
dataset=dataset,
column_name="text",
cleaners=cleaners,
filters=filters,
deduplication_config=deduplication_config,
verbose=False,
)
preprocessed_dataset = preprocessor.run()
```
## Acknowledgment
This is a friendly fork of Squeakily by CarperAI, but this repository aims at conversation data, uses pandas to
speed up the pipeline and latest near deduplication.
|