Fix DuplicatedKeysError (#5)

- Fix DuplicatedKeysError (5c0b806c9a1ece0437ad552b52109c8e205c941c)
- Change feature dtype to string (74a7e5df540b03d03f768caad4abec82e3d291d9)
- Update metadata (cfaa623373f055a7049877812ae74751c25aec87)

README.md

@@ -22,13 +22,13 @@ dataset_info:
   config_name: ar_cov19
   features:
   - name: tweetID
-    dtype: int64
+    dtype: string
   splits:
   - name: train
-    num_bytes: 25121264
+    num_bytes: 72223634
     num_examples: 3140158
   download_size: 23678407
-  dataset_size: 25121264
+  dataset_size: 72223634
 ---
 
 # Dataset Card for ArCOV19

ar_cov19.py

@@ -15,10 +15,7 @@
 """TODO: Add a description here."""
 
 
-import glob
-import os
-
-import pandas as pd
+import csv
 
 import datasets
 
@@ -92,7 +89,7 @@ class ArCov19(datasets.GeneratorBasedBuilder):
 
         features = {}
 
-        features["tweetID"] = datasets.Value("int64")
+        features["tweetID"] = datasets.Value("string")
 
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.
@@ -129,11 +126,10 @@ class ArCov19(datasets.GeneratorBasedBuilder):
         # TODO: This method will receive as arguments the `gen_kwargs` defined in the previous `_split_generators` method.
         # It is in charge of opening the given file and yielding (key, example) tuples from the dataset
         # The key is not important, it's more here for legacy reason (legacy from tfds)
+        id_ = 0
         for fname in data_files:
-
-            df = pd.read_csv(fname, names=["tweetID"])
-            for id_, record in df.iterrows():
-
-                tweetID = record["tweetID"]
-
-                yield str(id_), {"tweetID": tweetID}
+            with open(fname, newline='') as csvfile:
+                reader = csv.DictReader(csvfile, fieldnames=["tweetID"])
+                for row in reader:
+                    yield id_, row
+                    id_ += 1