Update disrpt.py

disrpt.py

@@ -4,6 +4,7 @@ import requests
 import pandas as pd
 import inspect
 import copy
+import ftfy
 
 
 key_to_entry = requests.get('https://www.dropbox.com/scl/fi/85pnc7n6e4puoureavtzo/filtered_disrpt.json?rlkey=6cbgbe9vn2549eths7ah8gm7u&dl=1').json()
@@ -94,13 +95,28 @@ def get_kwarg_names(func):
     
 _URLs = {f'{task}-{split}.{type}':f"https://raw.githubusercontent.com/disrpt/sharedtask2023/main/data/{task}/{task}_{split}.{type}" \
          for task in files for split in 'train dev test'.split() for type in ['rels','conllu']}
+#_URLs = {k:v for k,v in _URLs.items() if requests.get(v).status_code!=404}
+
+conllu_features = ['id', 'form', 'lemma', 'upos', 'xpos', 'feats', 'head', 'deprel', 'deps', 'misc', 'seg']
+feature_type = {"seg":datasets.features.Sequence(
+                        datasets.features.ClassLabel(names=["O","B-Segment"])),
+                'id':datasets.Value("string")}
+
+conllu_features = datasets.Features({x:feature_type.get(x,datasets.Sequence(datasets.Value("string")))
+                                     for x in conllu_features})
+ 
+def map_seg(x):
+    return [("B-Segment" if "beginseg=yes" in a.lower() else "O") for a in x]
+
+def remove_type(x):
+    return x.replace(".rels","").replace(".conllu","")
 
 class Dataset(datasets.GeneratorBasedBuilder):
     
     BUILDER_CONFIGS = [
             Config(
                 name=f"{n}.{type}",
-                data_dir=f"{n}.{type}"
+                data_dir=f"{n}.{type}",
             ) for n in files for type in ["rels","conllu"]
     ]
     def __init__(self,*args,**kwargs):
@@ -116,11 +132,13 @@ class Dataset(datasets.GeneratorBasedBuilder):
         
     def _split_generators(self, dl_manager: datasets.DownloadManager):
         cfg_name = self.config.name.rsplit('.', 1)[0]
-        data_dir = self.config.data_dir.replace(".rels","").replace(".conllu","")
+        data_dir = remove_type(self.config.data_dir)
+        print("datadir:",data_dir)
         type = self.config.name.split('.')[-1]
         urls={k:v for (k,v) in _URLs.items() if cfg_name in k and requests.get(v).status_code!=404}
         data_file = dl_manager.download(urls)
         train_key = data_dir+'-train'
+        print("datafile:",data_file, self.config.data_dir)
         if train_key in data_file:
             train=[datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_file[train_key]})]
         else:
@@ -131,7 +149,8 @@ class Dataset(datasets.GeneratorBasedBuilder):
         ]
 
     def _info(self): return datasets.DatasetInfo(
-        citation=key_to_entry.get(datasets_and_citations.get(self.config.name),None)
+        citation=key_to_entry.get(datasets_and_citations.get(remove_type(self.config.name)),None),
+        features=(None if ".rels" in self.config.name else conllu_features)
     )
         
     def _generate_examples(self, filepath):
@@ -139,6 +158,7 @@ class Dataset(datasets.GeneratorBasedBuilder):
             if "conllu" in self.config.name:
                 stream=parse_conll_stream(f)
                 for i, row in enumerate(stream):
+                    row['seg']=map_seg(row['misc'])
                     yield i,row
             reader = csv.DictReader(f,delimiter='\t',quoting=csv.QUOTE_NONE)
             for id_, row in enumerate(reader):