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iatf.py

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+from pathlib import Path
+from typing import Dict, List, Tuple
+
+import datasets
+
+try:
+    import pyreadr
+except:
+    print("Install the `pyreadr` package to use.")
+
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import (TASK_TO_SCHEMA, Licenses, Tasks)
+
+_DATASETNAME = "iatf"
+
+_CITATION = """\
+@misc{
+   iatf,
+   title={Inter-Agency Task Force for the Management of Emerging Infectious Diseases (IATF) COVID-19 Resolutions},
+   url={https://como-ph.github.io/post/creating-text-data-from-iatf-resolutions/},
+   author={Chris Mercado, John Robert Medina, Ernest Guevarra}
+}
+"""
+
+_DESCRIPTION = """\
+To assess possible impact of various COVID-19 prediction models on Philippine government response, text from various resolutions issued by
+the Inter-agency Task Force for the Management of Emerging Infectious Diseases (IATF) has been collected using data mining approaches implemented in R.
+"""
+
+_HOMEPAGE = "https://github.com/como-ph/covidphtext/tree/master/data"
+
+_LICENSE = Licenses.GPL_3_0.value
+
+_SUPPORTED_TASKS = [Tasks.SELF_SUPERVISED_PRETRAINING]
+_SEACROWD_SCHEMA_NAME = TASK_TO_SCHEMA[_SUPPORTED_TASKS[0]].lower()
+_LANGUAGES = ["fil"]
+_LOCAL = False
+_SOURCE_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
+
+_URL_BASE = "https://github.com/como-ph/covidphtext/raw/master/data/"
+_URLS = [
+   "iatfGuidelineOmnibus.rda",
+   "iatfResolution01.rda",
+   "iatfResolution02.rda",
+   "iatfResolution03.rda",
+   "iatfResolution04.rda",
+   "iatfResolution05.rda",
+   "iatfResolution06.rda",
+   "iatfResolution07.rda",
+   "iatfResolution08.rda",
+   "iatfResolution09.rda",
+   "iatfResolution10.rda",
+   "iatfResolution11.rda",
+   "iatfResolution12.rda",
+   "iatfResolution13.rda",
+   "iatfResolution14.rda",
+   "iatfResolution15.rda",
+   "iatfResolution16.rda",
+   "iatfResolution17.rda",
+   "iatfResolution18.rda",
+   "iatfResolution19.rda",
+   "iatfResolution20.rda",
+   "iatfResolution21.rda",
+   "iatfResolution22.rda",
+   "iatfResolution23.rda",
+   "iatfResolution24.rda",
+   "iatfResolution25.rda",
+   "iatfResolution26.rda",
+   "iatfResolution27.rda",
+   "iatfResolution28.rda",
+   "iatfResolution29.rda",
+   "iatfResolution30.rda",
+   "iatfResolution30A.rda",
+   "iatfResolution31.rda",
+   "iatfResolution32.rda",
+   "iatfResolution33.rda",
+   "iatfResolution34.rda",
+   "iatfResolution35.rda",
+   "iatfResolution36.rda",
+   "iatfResolution37.rda",
+   "iatfResolution38.rda",
+   "iatfResolution39.rda",
+   "iatfResolution40.rda",
+   "iatfResolution41.rda",
+   "iatfResolution42.rda",
+   "iatfResolution43.rda",
+   "iatfResolution44.rda",
+   "iatfResolution45.rda",
+   "iatfResolution46.rda",
+   "iatfResolution46A.rda",
+   "iatfResolution47.rda",
+   "iatfResolution48.rda",
+   "iatfResolution49.rda",
+   "iatfResolution50.rda",
+   "iatfResolution50A.rda",
+   "iatfResolution51.rda",
+   "iatfResolution52.rda",
+   "iatfResolution53.rda",
+   "iatfResolution54.rda",
+   "iatfResolution55.rda",
+   "iatfResolution55A.rda",
+   "iatfResolution56.rda",
+   "iatfResolution57.rda",
+   "iatfResolution58.rda",
+   "iatfResolution59.rda",
+   "iatfResolution60.rda",
+   "iatfResolution60A.rda",
+]
+
+
+class IATFDataset(datasets.GeneratorBasedBuilder):
+    """Inter-agency Task Force for the Management of Emerging Infectious Diseases Dataset"""
+
+    BUILDER_CONFIGS = [
+        SEACrowdConfig(
+            name=f"{_DATASETNAME}_source",
+            version=datasets.Version(_SOURCE_VERSION),
+            description=f"{_DATASETNAME} source schema",
+            schema="source",
+            subset_id=f"{_DATASETNAME}",
+        ),
+        SEACrowdConfig(
+            name=f"{_DATASETNAME}_seacrowd_{_SEACROWD_SCHEMA_NAME}",
+            version=datasets.Version(_SEACROWD_VERSION),
+            description=f"{_DATASETNAME} seacrowd schema",
+            schema=f"seacrowd_{_SEACROWD_SCHEMA_NAME}",
+            subset_id=f"{_DATASETNAME}",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = f"{_DATASETNAME}_source"
+
+    def _info(self) -> datasets.DatasetInfo:
+        if self.config.schema == "source":
+            features = datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                }
+            )
+        elif self.config.schema == f"seacrowd_{_SEACROWD_SCHEMA_NAME}":
+            features = schemas.self_supervised_pretraining.features
+        else:
+            raise ValueError(f"Invalid config schema: {self.config.schema}")
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        filepaths = [Path(dl_manager.download(_URL_BASE + url)) for url in _URLS]
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepaths": filepaths},
+            ),
+        ]
+
+    def _generate_examples(self, filepaths: List[Path]) -> Tuple[int, Dict]:
+        counter = 0
+        for path in filepaths:
+            data = pyreadr.read_r(path)
+            text = " ".join([str(x) for x in data[list(data.keys())[0]]["text"].values])
+            if self.config.schema == "source":
+                yield (
+                    counter,
+                    {
+                        "id": str(counter),
+                        "text": text.strip(),
+                    },
+                )
+            elif self.config.schema == f"seacrowd_{_SEACROWD_SCHEMA_NAME}":
+                yield (
+                    counter,
+                    {
+                        "id": str(counter),
+                        "text": text.strip(),
+                    },
+                )
+
+            counter += 1