pass tokenizer

fs.py

@@ -6,6 +6,7 @@ import json
 import os
 import datasets
 from datasets import load_dataset
+from transformers import AutoTokenizer
 
 _FS_CITATION = """
 TBD
@@ -65,7 +66,7 @@ _GOV_REPORT_CITATION = r"""
 class FSConfig(datasets.BuilderConfig):
     """BuilderConfig for FS."""
 
-    def __init__(self, features, data_url, citation, url, max_source_length, **kwargs):
+    def __init__(self, features, data_url, citation, url, max_source_length, tokenizer, **kwargs):
         """BuilderConfig for FS.
         Args:
           features: `list[string]`, list of the features that will appear in the
@@ -84,6 +85,7 @@ class FSConfig(datasets.BuilderConfig):
         self.citation = citation
         self.url = url
         self.max_source_length = max_source_length
+        self.tokenizer = tokenizer
 
 
 class Fs(datasets.GeneratorBasedBuilder):
@@ -100,6 +102,7 @@ class Fs(datasets.GeneratorBasedBuilder):
             citation=_SUMM_SCREEN_CITATION,
             url="https://github.com/mingdachen/SummScreen",
             max_source_length=None,
+            tokenizer=None,
         ),
         FSConfig(
             name="gov_report",
@@ -109,6 +112,7 @@ class Fs(datasets.GeneratorBasedBuilder):
             citation=_GOV_REPORT_DESCRIPTION,
             url="https://gov-report-data.github.io/",
             max_source_length=None,
+            tokenizer=None,
         ),
     ]
 
@@ -137,6 +141,7 @@ class Fs(datasets.GeneratorBasedBuilder):
                     "data_file": os.path.join(dl_dir, "train.jsonl"),
                     "split": datasets.Split.TRAIN,
                     "max_source_length": self.config.max_source_length,
+                    "tokenizer": self.config.tokenizer,
                 },
             ),
             datasets.SplitGenerator(
@@ -145,6 +150,7 @@ class Fs(datasets.GeneratorBasedBuilder):
                     "data_file": os.path.join(dl_dir, "validation.jsonl"),
                     "split": datasets.Split.VALIDATION,
                     "max_source_length": self.config.max_source_length,
+                    "tokenizer": self.config.tokenizer,
                 },
             ),
             datasets.SplitGenerator(
@@ -153,11 +159,12 @@ class Fs(datasets.GeneratorBasedBuilder):
                     "data_file": os.path.join(dl_dir, "test.jsonl") if data_files is None else data_files["test"],
                     "split": datasets.Split.TEST,
                     "max_source_length": self.config.max_source_length,
+                    "tokenizer": self.config.tokenizer,
                 },
             ),
         ]
 
-    def _generate_examples(self, data_file, split, max_source_length):
+    def _generate_examples(self, data_file, split, max_source_length, tokenizer):
         with open(data_file, encoding="utf-8") as f:
             for line in f:
                 row = json.loads(line)
@@ -169,7 +176,8 @@ def _get_task_name_from_data_url(data_url):
 
 
 if __name__ == '__main__':
-    dataset = load_dataset("tau/fs", "summ_screen_fd", max_source_length=512)
+    tokenizer = AutoTokenizer.from_pretrained("t5-base")
+    dataset = load_dataset("tau/fs", "summ_screen_fd", max_source_length=512, tokenizer=tokenizer)
     x = 5
 #    builder = Scrolls("scrolls", "summ_screen_fd")
 #    builder.download_and_prepare()