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README.md

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 ---
 license: apache-2.0
 ---
+# LoCoV1 Queries
+
+The queries for the LoCoV1 dataset from the paper, "Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT"
+
+## How to Use
+
+To load the dataset, use the following command:
+
+```
+from datasets import load_dataset
+dataset = load_dataset("hazyresearch/LoCoV1-Queries")
+```
+
+To load a specific subset, such as SummScreenFD, use the following command:
+
+```
+from datasets import load_dataset
+dataset = load_dataset("hazyresearch/LoCoV1-Queries")
+def filter_condition(example):
+    return example['dataset'] == 'summ_screen_fd'
+filtered_dataset = dataset.filter(filter_condition)
+```
+
+The datasets available are:
+```
+{'summ_screen_fd', 'gov_report', 'qmsum', 'qasper_title', 'qasper_abstract', '2wikimqa', 'multifieldqa',
+ 'passage_retrieval', 'courtlistener_HTML', 'courtlistener_Plain_Text', 'legal_case_reports', 'stackoverflow'}
+```
+
+For documents, go to [hazyresearch/LoCoV1-Documents](https://huggingface.co/datasets/hazyresearch/LoCoV1-Documents).
+

loco_queries.py

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+
+
+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"]
+                }