Moved to CSV

ik_nlp_22_slp.py

@@ -2,6 +2,7 @@ import csv
 import sys
 
 import datasets
+import pandas as pd
 from typing import List
 
 csv.field_size_limit(sys.maxsize)
@@ -27,7 +28,7 @@ _HOMEPAGE = "https://www.rug.nl/masters/information-science/?lang=en"
 
 _LICENSE = "See https://web.stanford.edu/~jurafsky/slp3/"
 
-_PARAGRAPHS_URL = "https://huggingface.co/datasets/GroNLP/ik-nlp-22_slp/raw/main/slp3ed.tsv"
+_PARAGRAPHS_URL = "https://huggingface.co/datasets/GroNLP/ik-nlp-22_slp/raw/main/slp3ed.csv"
 
 
 class IkNlp22SlpConfig(datasets.BuilderConfig):
@@ -55,12 +56,6 @@ class IkNlp22Slp(datasets.GeneratorBasedBuilder):
         IkNlp22SlpConfig(
             name="paragraphs",
             features=["n_chapter", "chapter", "n_section", "section", "n_subsection", "subsection", "text"],
-<<<<<<< HEAD
-||||||| 5e078e2
-            data_url="https://huggingface.co/datasets/GroNLP/ik-nlp-22_slp/resolve/main/slp3ed.tsv"
-=======
-            data_url="https://huggingface.co/datasets/GroNLP/ik-nlp-22_slp/raw/main/slp3ed.tsv"
->>>>>>> fc2063e6e3a23866446fac01533b3010c38b3a46
         ),
     ]
 
@@ -91,11 +86,7 @@ class IkNlp22Slp(datasets.GeneratorBasedBuilder):
     
     def _generate_examples(self, filepath: str, split: str, features: List[str]):
         """Yields examples as (key, example) tuples."""
-        with open(filepath, encoding="utf8") as f:
-            for id_, row in enumerate(f):
-                if id_ == 0:
-                    continue
-                fields = row.strip().split("\t")
-                yield id_, {
-                    k:v.strip() for k,v in zip(features, fields)
-                }
+        data = pd.read_csv(filepath)
+        for id_, row in data.iterrows():
+            fields = row.strip().split(",")
+            yield id_, row.to_dict()