updating code

chat-t5-remove.py

@@ -1,81 +0,0 @@
-import os
-import sys
-import pandas as pd
-import numpy as np
-import datasets
-import pathlib
-
-_DESCRIPTION = """\
-This script is used to generate a dataset for the chatbot task. The dataset is combination of datasets used to train BlenderBot."""
-
-_VERSION = "1.0.0"
-
-
-class ChatT5Config(datasets.BuilderConfig):
-    """BuilderConfig for TapacoConfig."""
-
-    def __init__(self, **kwargs):
-        super(ChatT5Config, self).__init__(version=datasets.Version(_VERSION, ""), **kwargs),
-
-
-class ChatT5(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-        ChatT5Config(
-            name="chat_t5",
-            description="The dataset is combination of datasets used to train BlenderBot.",
-        )
-    ]
-    BUILDER_CONFIG_CLASS = ChatT5Config
-    DEFAULT_CONFIG_NAME = "chat_t5"
-
-    def _info(self):
-        features = datasets.Features({"texts": datasets.Value("string"), "labels": datasets.Value("string")})
-
-        return datasets.DatasetInfo(description=_DESCRIPTION, features=features, supervised_keys=None)
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        train_files = [
-            "empathetic_dialogues_train.parquet",
-            "blended_skill_talk_train.parquet",
-            "wizard_of_wikipedia_train.parquet",
-            "conv_ai_2_train.parquet",
-        ]
-        validation_files = [
-            "conv_ai_2_validation.parquet",
-            "empathetic_dialogues_validation.parquet",
-            "blended_skill_talk_validation.parquet",
-            "wizard_of_wikipedia_validation.parquet",
-        ]
-        test_files = [
-            "blended_skill_talk_test.parquet",
-            "empathetic_dialogues_test.parquet",
-            "wizard_of_wikipedia_test.parquet",
-        ]
-        urls_to_download = "./data/train/conv_ai_2_train.parquet"
-        downloaded_files = dl_manager.download_and_extract(urls_to_download)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"data_dir": downloaded_files["train"]},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"data_dir": downloaded_files["test"]},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"data_dir": downloaded_files["validation"]},
-            ),
-        ]
-
-    def _generate_examples(self, data_dir):
-        """Yields examples."""
-        data = pd.DataFrame()
-        for file_path in os.listdir(data_dir):
-            data = pd.concat([data, pd.read_parquet(os.path.join(data_dir, file_path))])
-        id_ = -1
-        for _, row in data.iterrows():
-            id_ += 1
-            yield id_, {"texts": row["texts"], "labels": row["labels"]}