Create dsr.py

dsr.py

@@ -0,0 +1,77 @@
+import datasets
+import csv
+import requests
+
+
+citation='''
+'''
+
+class Config(datasets.BuilderConfig):
+    citation=citation
+
+files = [
+    "eng.dep.covdtb",
+    "eng.dep.scidtb",
+    "eng.pdtb.pdtb",
+    "eng.pdtb.tedm",
+    "eng.rst.gum",
+    "eng.rst.rstdt",
+    "eng.sdrt.stac",
+    "deu.rst.pcc",
+    "eus.rst.ert",
+    "fas.rst.prstc",
+    "fra.sdrt.annodis",
+    "ita.pdtb.luna",
+    "nld.rst.nldt",
+    "por.pdtb.crpc",
+    "por.pdtb.tedm",
+    "por.rst.cstn",
+    "rus.rst.rrt",
+    "spa.rst.rststb",
+    "spa.rst.sctb",
+    "tha.pdtb.tdtb",
+    "tur.pdtb.tdb",
+    "tur.pdtb.tedm",
+    "zho.dep.scidtb",
+    "zho.pdtb.cdtb",
+    "zho.rst.gcdt",
+    "zho.rst.sctb",
+]
+
+
+_URLs = {f'{task}-{split}':f"https://raw.githubusercontent.com/disrpt/sharedtask2023/main/data/{task}/{task}_{split}.rels" \
+         for task in files for split in 'train dev test'.split()}
+_URLs = {k:v for k,v in _URLs.items() if requests.get(v).status_code!=404}
+
+class Dataset(datasets.GeneratorBasedBuilder):
+    
+    BUILDER_CONFIGS = [
+            Config(
+                name=n,
+                data_dir=n
+            ) for n in files
+    ]
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager):
+        data_file = dl_manager.download(_URLs)
+        train_key = self.config.data_dir+'-train'
+        if train_key in data_file:
+            train=datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_file[train_key]})
+        else:
+            train=[]
+        return train+[
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_file[self.config.data_dir+'-dev']}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_file[self.config.data_dir+'-test']}),
+
+        ]
+
+
+    def _info(self): return datasets.DatasetInfo()
+        
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.DictReader(f,delimiter='\t')
+            for id_, row in enumerate(reader):
+                if id_ == 0:
+                    continue
+                yield id_, row