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README.md

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 ---
-license: cc-by-4.0
+TODO: Add YAML tags here. Copy-paste the tags obtained with the online tagging app: https://huggingface.co/spaces/huggingface/datasets-tagging
 ---
+
+# Dataset Card for Indonesian Movie Subtitle
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:**
+- **Repository:**
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+[More Information Needed]
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+Thanks to [@andreaschandra](https://github.com/andreaschandra) for adding this dataset.

dataset_infos.json

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+{"default": {"description": "This dataset is built as a playground for analyzing text on movie subtitle\n", "citation": "", "homepage": "https://github.com/jakartaresearch", "license": "", "features": {"movie_title": {"dtype": "string", "id": null, "_type": "Value"}, "order": {"dtype": "string", "id": null, "_type": "Value"}, "duration": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "indo_movie_subtitle", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2430951, "num_examples": 17740, "dataset_name": "indo_movie_subtitle"}}, "download_checksums": {"https://media.githubusercontent.com/media/jakartaresearch/hf-datasets/main/movie-subtitles/dataset.csv": {"num_bytes": 2307955, "checksum": "bb2561adcf76e1d03bdd7f7e88e30dd3800c00b41a151108d23ad866dc53f36d"}}, "download_size": 2307955, "post_processing_size": null, "dataset_size": 2430951, "size_in_bytes": 4738906}}

indo-movie-subtitle.py

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+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Indonesian Movie Subtitle."""
+
+
+import csv
+import json
+import os
+
+import datasets
+
+_DESCRIPTION = """\
+This dataset is built as a playground for analyzing text on movie subtitle
+"""
+
+_HOMEPAGE = "https://github.com/jakartaresearch"
+
+# TODO: Add link to the official dataset URLs here
+# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
+# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
+_TRAIN_URL = "https://media.githubusercontent.com/media/jakartaresearch/hf-datasets/main/movie-subtitles/dataset.csv"
+
+
+# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
+class IndoMovieSubtitle(datasets.GeneratorBasedBuilder):
+    """Indonesian Movie Subtitle."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        
+        features = datasets.Features(
+            {
+                "movie_title": datasets.Value("string"),
+                "order": datasets.Value("string"),
+                "duration": datasets.Value("string"),
+                "text": datasets.Value("string")
+            }
+        )
+        
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            homepage=_HOMEPAGE
+        )
+
+    def _split_generators(self, dl_manager):
+
+        train_path = dl_manager.download_and_extract(_TRAIN_URL)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
+        ]
+
+    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
+    def _generate_examples(self, filepath):
+        """Generate examples."""
+        with open(filepath, encoding="utf-8") as csv_file:
+            csv_reader = csv.reader(csv_file, delimiter=",")
+            next(csv_reader)
+            for id_, row in enumerate(csv_reader):
+                movie_title, order, duration, text = row
+                yield id_, {"movie_title": movie_title, "order": order, "duration": duration, "text": text}