loco_queries.py

import csv
import json
import os

import datasets
import pandas as pd
import zipfile


_CITATION = """
"""

_DESCRIPTION = """\
LoCoV1 Dataset - Queries
"""

_HOMEPAGE = "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries"

_LICENSE = ""

_URL = {                       
            "summ_screen_fd": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/summ_screen_fd",
            "gov_report": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/gov_report",
            "qmsum": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/qmsum",
            "qasper_title": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/qasper_title",
            "qasper_abstract": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/qasper_abstract",
            "multifieldqa": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/multifieldqa",
            "2wikimqa": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/2wikimqa",
            "passage_retrieval": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/passage_retrieval",
            "courtlistener_HTML": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/courtlistener_HTML",
            "courtlistener_Plain_Text": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/courtlistener_Plain_Text",
            "legal_case_reports": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/legal_case_reports",
            "stackoverflow": "https://huggingface.co/datasets/hazyresearch/LoCoV1-Queries/raw/main/queries/stackoverflow",
       }




class NewDataset(datasets.GeneratorBasedBuilder):
    
    VERSION = datasets.Version("1.1.0")

    BUILDER_CONFIGS = [
        datasets.BuilderConfig(name="summ_screen_fd", version=VERSION, description=""),
        datasets.BuilderConfig(name="gov_report", version=VERSION, description=""),
        datasets.BuilderConfig(name="qmsum", version=VERSION, description=""),
        datasets.BuilderConfig(name="qasper_title", version=VERSION, description=""),
        datasets.BuilderConfig(name="qasper_abstract", version=VERSION, description=""),
        datasets.BuilderConfig(name="multifieldqa", version=VERSION, description=""),
        datasets.BuilderConfig(name="2wikimqa", version=VERSION, description=""),
        datasets.BuilderConfig(name="passage_retrieval", version=VERSION, description=""),
        datasets.BuilderConfig(name="courtlistener_HTML", version=VERSION, description=""),
        datasets.BuilderConfig(name="courtlistener_Plain_Text", version=VERSION, description=""),
        datasets.BuilderConfig(name="legal_case_reports", version=VERSION, description=""),
        datasets.BuilderConfig(name="stackoverflow", version=VERSION, description=""),
    ]

    DEFAULT_CONFIG_NAME = "summ_screen_fd"  # It's not mandatory to have a default configuration. Just use one if it make sense.

    def _info(self):
        features = datasets.Features(
            {
                "qid": datasets.Value("string"),
                "dataset": datasets.Value("string"),
                "query": datasets.Value("string"),
                "answer_pids": datasets.Value("string"),
            }
        )
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features,  # Here we define them above because they are different between the two configurations
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        _URLS = {
            "test": _URL[self.config.name] + "_test.jsonl",
        }

        downloaded_files = dl_manager.download_and_extract(_URLS)

        return [
            datasets.SplitGenerator(name="test", gen_kwargs={"filepath": downloaded_files["test"]}),
        ]

    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
    def _generate_examples(self, filepath):
        
        with open(filepath, encoding="utf-8") as f:

            for key, row in enumerate(f):
                
                data = json.loads(row)

                yield key, {
                        "qid": data["qid"],
                        "dataset": data["dataset"],
                        "query": data["query"],
                        "answer_pids": data["answer_pids"]
                }