Update divemt.py

divemt.py

@@ -1,5 +1,5 @@
 import os
-
+import json
 import datasets
 import pandas as pd
 
@@ -22,11 +22,11 @@ _HOMEPAGE = "https://github.com/gsarti/divemt"
 
 _LICENSE = "GNU General Public License v3.0"
 
-_ROOT_PATH = "https://raw.githubusercontent.com/gsarti/divemt/main/data/"
+_ROOT_PATH = "https://huggingface.co/datasets/GroNLP/divemt/raw/main"
 
 _PATHS = {
-    "main": os.path.join(_ROOT_PATH, "main.tsv.zip"),
-    "warmup": os.path.join(_ROOT_PATH, "warmup.tsv.zip"),
+    "main": os.path.join(_ROOT_PATH, "main.tsv"),
+    "warmup": os.path.join(_ROOT_PATH, "warmup.tsv"),
 }
 
 _ALL_FIELDS = ['unit_id', 'flores_id', 'item_id', 'subject_id', 'lang_id', 'doc_id', 
@@ -128,7 +128,7 @@ class DivEMT(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        dl_dir = dl_manager.download(_PATHS[self.config.name])
+        dl_dir = dl_manager.download_and_extract(_PATHS[self.config.name])
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -141,7 +141,10 @@ class DivEMT(datasets.GeneratorBasedBuilder):
     
     def _generate_examples(self, filepath: str, features):
         """Yields examples as (key, example) tuples."""
-        data = pd.read_csv(filepath, sep="\t", compression="zip")
+        data = pd.read_csv(filepath, sep="\t")
         data = data[features]
         for id_, row in data.iterrows():
-            yield id_, row.to_dict()
+            row_dic = row.to_dict()
+            for field in _STR_SEQ_FIELDS + _LANG_ANNOTATIONS_FIELDS:
+                row_dic[field] = json.loads(row_dic[field])
+            yield id_, row_dic