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Open-Data-SM.py

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+import json
+
+import datasets
+import pandas as pd
+
+class OpenDataSMConfig(datasets.BuilderConfig):
+
+    def __init__(self, features, data_url, **kwargs):
+        super(OpenDataSMConfig, self).__init__(**kwargs)
+        self.features = features
+        self.data_url = data_url
+
+class OpenDataSM(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        OpenDataSMConfig(
+            name="pairs",
+            features={
+                "column1": datasets.Value("string"),
+                "column2": datasets.Value("string"),
+                "label"  : datasets.Value("bool") 
+            },
+            data_url="https://huggingface.co/datasets/matchbench/Open-Data-SM/resolve/main/matches.txt"
+        ),
+        OpenDataSMConfig(
+            name="source", 
+            features={
+                "json": datasets.Value("string")
+            }, 
+            data_url="https://huggingface.co/datasets/matchbench/Open-Data-SM/resolve/main/open_data-sm-1.csv"
+        ),
+        OpenDataSMConfig(
+            name="target", 
+            features={
+                "json": datasets.Value("string")
+            }, 
+            data_url="https://huggingface.co/datasets/matchbench/Open-Data-SM/resolve/main/open_data-sm-2.csv"
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            features=datasets.Features(self.config.features)
+        )
+
+    def _split_generators(self, dl_manager):
+        path = dl_manager.download(self.config.data_url)
+        if self.config.name == "pairs":
+            return [
+                datasets.SplitGenerator(
+                    name=split,
+                    gen_kwargs={
+                        "file_path": path
+                    }
+                )
+                for split in [
+                    datasets.Split.TEST
+                ]
+            ]
+        elif self.config.name == "source":
+            return [
+                datasets.SplitGenerator(
+                    name="source",
+                    gen_kwargs={
+                        "file_path": path
+                    }
+                )
+            ]
+        elif self.config.name == "target":
+            return [
+                datasets.SplitGenerator(
+                    name="target",
+                    gen_kwargs={
+                        "file_path": path
+                    }
+                )
+            ]
+
+    def _generate_examples(self, file_path):
+        if self.config.name == "pairs":
+            with open(file_path, "r") as f:
+                md = {}
+                for _, line in enumerate(f):
+                    t = line.strip().split(',')
+                    if t[0] not in md:
+                        md[t[0]] = {t[1]}
+                    else:
+                        md[t[0]].add(t[1])
+            id = -1
+            for k, v in md.items():
+                for i in v:
+                    id = id + 1
+                    yield id, {"column1": k, "column2": i, "label": True}
+        elif self.config.name == "source":
+            with open(file_path, "r") as f:
+                source = pd.read_csv(file_path)
+                source = source.to_json()
+            yield 0, {"json": source}
+        elif self.config.name == "target":
+            with open(file_path, "r") as f:
+                target = pd.read_csv(file_path)
+                target = target.to_json()
+            yield 0, {"json": target}

matches.txt

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+0_Fiscal year,1_Fiscal year
+0_Project number,1_Project number
+0_Status,1_Status
+0_Maximum CIDA contribution (project-level),1_Maximum CIDA contribution (project-level)
+0_Branch ID,1_Branch ID
+0_Branch name,1_Branch name
+0_Division ID,1_Division ID
+0_Division name,1_Division name
+0_Section ID,1_Section ID
+0_Section name,1_Section name
+0_Regional program (marker),1_Regional program (marker)
+0_Fund centre ID,1_Fund centre ID
+0_Fund centre name,1_Fund centre name
+0_Untied amount(Project-level budget),1_Untied amount(Project-level budget)
+0_FSTC percent,1_FSTC percent
+0_IRTC percent,1_IRTC percent
+0_CFLI (marker),1_CFLI (marker)
+0_CIDA business delivery model (old),1_CIDA business delivery model (old)
+0_Programming process (new),1_Programming process (new)
+0_Bilateral aid (international marker),1_Bilateral aid (international marker)
+0_PBA type,1_PBA type
+0_Enviromental sustainability (marker),1_Enviromental sustainability (marker)
+0_Climate change adaptation (marker),1_Climate change adaptation (marker)
+0_Climate change mitigation (marker),1_Climate change mitigation (marker)
+0_Desertification (marker),1_Desertification (marker)
+0_Participatory development and good governance,1_Participatory development and good governance
+0_Trade development (marker),1_Trade development (marker)
+0_Biodiversity (marker),1_Biodiversity (marker)
+0_Urban issues (marker),1_Urban issues (marker)
+0_Children issues (marker),1_Children issues (marker)
+0_Youth issues (marker),1_Youth issues (marker)
+0_Indigenous issues (marker),1_Indigenous issues (marker)
+0_Disability issues (marker),1_Disability issues (marker)
+0_ICT as a tool for development (marker),1_ICT as a tool for development (marker)
+0_Knowledge for development (marker),1_Knowledge for development (marker)
+0_Gender equality (marker),1_Gender equality (marker)
+0_Organisation ID,1_Organisation ID
+0_Organisation name,1_Organisation name
+0_Organisation type,1_Organisation type
+0_Organisation class,1_Organisation class
+0_Organisation sub-class,1_Organisation sub-class
+0_Continent ID,1_Continent ID
+0_Continent name,1_Continent name
+0_Project Browser country ID,1_Project Browser country ID
+0_CountryRegion ID,1_CountryRegion ID
+0_CountryRegion name,1_CountryRegion name
+0_CountryRegion percent,1_CountryRegion percent
+0_Sector ID,1_Sector ID
+0_Sector name,1_Sector name
+0_Sector percent,1_Sector percent
+0_Amount spent,1_Amount spent