Fix encodings

the_pile_github.py

@@ -18,6 +18,7 @@ import os
 import re
 import pandas as pd
 import datasets
+import json
 
 
 _CITATION = """\
@@ -135,7 +136,7 @@ class SmartContracts(datasets.GeneratorBasedBuilder):
         features = datasets.Features(
             {
                 "text": datasets.Value("string"),
-                "meta": datasets.Sequence(feature={'language': datasets.Value('string')}),
+                "meta": {'language': datasets.Value('string')},
             }
         )
 
@@ -164,13 +165,13 @@ class SmartContracts(datasets.GeneratorBasedBuilder):
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
         train_urls = _URLS["train"][self.config.name]
         train_files = dl_manager.download_and_extract(train_urls)
-        dev_files = dl_manager.download_and_extract(_URLS["dev"])
-        test_files = dl_manager.download_and_extract(_URLS["test"])
+        dev_file = dl_manager.download_and_extract(_URLS["dev"])
+        test_file = dl_manager.download_and_extract(_URLS["test"])
 
         return [
                 datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"split_key": "train", "files": train_files}),
-                datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"split_key": "validation", "files": dev_files}),
-                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"split_key": "test", "files": test_files}),
+                datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"split_key": "validation", "files": [dev_file]}),
+                datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"split_key": "test", "files": [test_file]}),
             ]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
@@ -179,7 +180,6 @@ class SmartContracts(datasets.GeneratorBasedBuilder):
         # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
         #data = pd.read_parquet(filepath)
-
         key = 0
         for path in files:
             data = pd.read_parquet(path)
@@ -189,7 +189,7 @@ class SmartContracts(datasets.GeneratorBasedBuilder):
                 if split_key == "train":
                     yield key, {
                         "text": row.text,
-                        "meta": row.meta,
+                        "meta": json.loads(row.meta.decode('utf-8')),
                     }
 
                 elif split_key in ["validation", "test"]:
@@ -199,7 +199,7 @@ class SmartContracts(datasets.GeneratorBasedBuilder):
                             "meta": row.meta,
                         }
                     else:
-                        language = row.meta[0]["language"].lower().replace(" ", "_") # e.g. "Jupyter Notebook" -> "jupyter_notebook"
+                        language = row.meta["language"].lower().replace(" ", "_") # e.g. "Jupyter Notebook" -> "jupyter_notebook"
                         if language == self.config.name:
                             yield key, {
                                 "text": row.text,