github/github.py

import io
import json
import os
from glob import glob

import datasets
import zstandard as zstd
from datasets import GeneratorBasedBuilder
from datasets.utils import Version
from huggingface_hub import snapshot_download

# Requires REPO_NAME and file name to be same e.g. uspto.py
REPO_NAME = "Multi-Domain-Expert-Layers/github"

class PileDomainDataset(GeneratorBasedBuilder):
    VERSION = Version("1.0.0")

    def _info(self):
        return datasets.DatasetInfo(
            description="Pile Domain Dataset",
            features=datasets.Features(
                {
                    "text": datasets.Value("string"),
                }
            ),
            supervised_keys=None,
        )

    def _split_generators(self, dl_manager):

        dl_path = snapshot_download(repo_id=REPO_NAME, repo_type="dataset")

        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "data_dir": os.path.join(dl_path, "data/train"),
                    "split": None,
                },
            ),
            datasets.SplitGenerator(
                name="validation",
                gen_kwargs={
                    "data_dir": os.path.join(dl_path, "data/val"),
                    "split": None,
                },
            ),
            datasets.SplitGenerator(
                name="validation_pile",
                gen_kwargs={
                    "data_dir": os.path.join(dl_path, "data/val"),
                    "split": "pile",
                },
            ),
            datasets.SplitGenerator(
                name="validation_domain",
                gen_kwargs={
                    "data_dir": os.path.join(dl_path, "data/val"),
                    "split": "domain",
                },
            ),
            datasets.SplitGenerator(
                name="test_pile",
                gen_kwargs={"data_dir": os.path.join(dl_path, "data/test"), "split": "pile"},
            ),
            datasets.SplitGenerator(
                name="test_domain",
                gen_kwargs={"data_dir": os.path.join(dl_path, "data/test"), "split": "domain"},
            ),
        ]

    def _generate_examples(self, data_dir, split):
        dctx = zstd.ZstdDecompressor()
        idx = -1
        file_paths = glob(os.path.join(data_dir, f"*.jsonl.zst"))
        if split is not None:
            file_paths = [f for f in file_paths if split in f]
        for file in file_paths:
            with open(file, "rb") as f:
                reader = dctx.stream_reader(f)
                buffer = io.BufferedReader(reader)
                for _, line in enumerate(buffer.readlines()):
                    data = json.loads(line)
                    idx += 1
                    yield idx, data