Duplicate from karpathy/tiny_shakespeare

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README.md

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+---
+paperswithcode_id: null
+pretty_name: TinyShakespeare
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 55780
+    num_examples: 1
+  - name: train
+    num_bytes: 1003864
+    num_examples: 1
+  - name: validation
+    num_bytes: 55780
+    num_examples: 1
+  download_size: 1115394
+  dataset_size: 1115424
+---
+
+# Dataset Card for "tiny_shakespeare"
+
+## 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:** [https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt](https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt)
+- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Size of downloaded dataset files:** 1.11 MB
+- **Size of the generated dataset:** 1.11 MB
+- **Total amount of disk used:** 2.23 MB
+
+### Dataset Summary
+
+40,000 lines of Shakespeare from a variety of Shakespeare's plays. Featured in Andrej Karpathy's blog post 'The Unreasonable Effectiveness of Recurrent Neural Networks': http://karpathy.github.io/2015/05/21/rnn-effectiveness/.
+
+To use for e.g. character modelling:
+
+```
+d = datasets.load_dataset(name='tiny_shakespeare')['train']
+d = d.map(lambda x: datasets.Value('strings').unicode_split(x['text'], 'UTF-8'))
+# train split includes vocabulary for other splits
+vocabulary = sorted(set(next(iter(d)).numpy()))
+d = d.map(lambda x: {'cur_char': x[:-1], 'next_char': x[1:]})
+d = d.unbatch()
+seq_len = 100
+batch_size = 2
+d = d.batch(seq_len)
+d = d.batch(batch_size)
+```
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Languages
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Dataset Structure
+
+### Data Instances
+
+#### default
+
+- **Size of downloaded dataset files:** 1.11 MB
+- **Size of the generated dataset:** 1.11 MB
+- **Total amount of disk used:** 2.23 MB
+
+An example of 'train' looks as follows.
+```
+{
+    "text": "First Citizen:\nBefore we proceed any further, hear me "
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### default
+- `text`: a `string` feature.
+
+### Data Splits
+
+| name  |train|validation|test|
+|-------|----:|---------:|---:|
+|default|    1|         1|   1|
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the source language producers?
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the annotators?
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Personal and Sensitive Information
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Discussion of Biases
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Other Known Limitations
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Licensing Information
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Citation Information
+
+```
+@misc{
+  author={Karpathy, Andrej},
+  title={char-rnn},
+  year={2015},
+  howpublished={\url{https://github.com/karpathy/char-rnn}}
+}
+```
+
+
+### Contributions
+
+Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.

tiny_shakespeare.py

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+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# 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.
+
+# Lint as: python3
+"""Tiny Shakespeare dataset."""
+
+
+import os
+
+import datasets
+
+
+_CITATION = """\
+@misc{
+  author={Karpathy, Andrej},
+  title={char-rnn},
+  year={2015},
+  howpublished={\\url{https://github.com/karpathy/char-rnn}}
+}"""
+
+_DESCRIPTION = """\
+40,000 lines of Shakespeare from a variety of Shakespeare's plays. \
+Featured in Andrej Karpathy's blog post 'The Unreasonable Effectiveness of \
+Recurrent Neural Networks': \
+http://karpathy.github.io/2015/05/21/rnn-effectiveness/.
+
+To use for e.g. character modelling:
+
+```
+d = datasets.load_dataset(name='tiny_shakespeare')['train']
+d = d.map(lambda x: datasets.Value('strings').unicode_split(x['text'], 'UTF-8'))
+# train split includes vocabulary for other splits
+vocabulary = sorted(set(next(iter(d)).numpy()))
+d = d.map(lambda x: {'cur_char': x[:-1], 'next_char': x[1:]})
+d = d.unbatch()
+seq_len = 100
+batch_size = 2
+d = d.batch(seq_len)
+d = d.batch(batch_size)
+```
+"""
+
+
+class TinyShakespeare(datasets.GeneratorBasedBuilder):
+    """Tiny Shakespeare dataset builder."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({"text": datasets.Value("string")}),
+            supervised_keys=None,
+            homepage="https://github.com/karpathy/char-rnn/blob/master/data/tinyshakespeare/input.txt",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        download_path = dl_manager.download_and_extract(
+            "https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt"
+        )
+        if os.path.isdir(download_path):
+            # During testing the download manager mock gives us a directory
+            txt_path = os.path.join(download_path, "input.txt")
+        else:
+            txt_path = download_path
+        with open(txt_path, "r", encoding="utf-8") as f:
+            text = f.read()
+
+        # 90/5/5 split
+        i = int(len(text) * 0.9)
+        train_text, text = text[:i], text[i:]
+        i = int(len(text) * 0.5)
+        validation_text, text = text[:i], text[i:]
+        test_text = text
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"split_key": "train", "split_text": train_text},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"split_key": "validation", "split_text": validation_text},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"split_key": "test", "split_text": test_text},
+            ),
+        ]
+
+    def _generate_examples(self, split_key, split_text):
+        """Yields examples."""
+        data_key = split_key  # Should uniquely identify the thing yielded
+        feature_dict = {"text": split_text}
+        yield data_key, feature_dict