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README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- found
+language:
+- en
+license:
+- other
+license_details: LDC User Agreement for Non-Members
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- text-generation
+- fill-mask
+task_ids:
+- language-modeling
+- masked-language-modeling
+paperswithcode_id: null
+pretty_name: Penn Treebank
+dataset_info:
+  features:
+  - name: sentence
+    dtype: string
+  config_name: penn_treebank
+  splits:
+  - name: train
+    num_bytes: 5143706
+    num_examples: 42068
+  - name: test
+    num_bytes: 453710
+    num_examples: 3761
+  - name: validation
+    num_bytes: 403156
+    num_examples: 3370
+  download_size: 5951345
+  dataset_size: 6000572
+---
+
+# Dataset Card for Penn Treebank
+
+## 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://catalog.ldc.upenn.edu/LDC99T42
+
+- **Repository:** 'https://raw.githubusercontent.com/wojzaremba/lstm/master/data/ptb.train.txt',
+  'https://raw.githubusercontent.com/wojzaremba/lstm/master/data/ptb.valid.txt',
+  'https://raw.githubusercontent.com/wojzaremba/lstm/master/data/ptb.test.txt'
+- **Paper:** https://www.aclweb.org/anthology/J93-2004.pdf
+- **Leaderboard:** [Needs More Information]
+- **Point of Contact:** [Needs More Information]
+
+### Dataset Summary
+
+This is the Penn Treebank Project: Release 2 CDROM, featuring a million words of 1989 Wall Street Journal material. 
+The rare words in this version are already replaced with <unk> token. The numbers are replaced with <N> token.
+
+### Supported Tasks and Leaderboards
+
+Language Modelling
+
+### Languages
+
+The text in the dataset is in American English
+
+## Dataset Structure
+
+### Data Instances
+
+[Needs More Information]
+
+### Data Fields
+
+[Needs More Information]
+
+### Data Splits
+
+[Needs More Information]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[Needs More Information]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[Needs More Information]
+
+#### Who are the source language producers?
+
+[Needs More Information]
+
+### Annotations
+
+#### Annotation process
+
+[Needs More Information]
+
+#### Who are the annotators?
+
+[Needs More Information]
+
+### Personal and Sensitive Information
+
+[Needs More Information]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[Needs More Information]
+
+### Discussion of Biases
+
+[Needs More Information]
+
+### Other Known Limitations
+
+[Needs More Information]
+
+## Additional Information
+
+### Dataset Curators
+
+[Needs More Information]
+
+### Licensing Information
+
+Dataset provided for research purposes only. Please check dataset license for additional information.
+
+### Citation Information
+
+@article{marcus-etal-1993-building,
+    title = "Building a Large Annotated Corpus of {E}nglish: The {P}enn {T}reebank",
+    author = "Marcus, Mitchell P.  and
+      Santorini, Beatrice  and
+      Marcinkiewicz, Mary Ann",
+    journal = "Computational Linguistics",
+    volume = "19",
+    number = "2",
+    year = "1993",
+    url = "https://www.aclweb.org/anthology/J93-2004",
+    pages = "313--330",
+}
+### Contributions
+
+Thanks to [@harshalmittal4](https://github.com/harshalmittal4) for adding this dataset.

penn_treebank/test/0000.parquet

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penn_treebank/train/0000.parquet

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penn_treebank/validation/0000.parquet

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ptb_text_only.py

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+# coding=utf-8
+# 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.
+"""
+    Load the Penn Treebank dataset.
+
+    This is the Penn Treebank Project: Release 2 CDROM, featuring a million words of 1989 Wall
+    Street Journal material.
+"""
+
+
+import datasets
+
+
+# TODO: Add BibTeX citation
+# Find for instance the citation on arxiv or on the dataset repo/website
+_CITATION = """\
+@article{marcus-etal-1993-building,
+    title = "Building a Large Annotated Corpus of {E}nglish: The {P}enn {T}reebank",
+    author = "Marcus, Mitchell P.  and
+      Santorini, Beatrice  and
+      Marcinkiewicz, Mary Ann",
+    journal = "Computational Linguistics",
+    volume = "19",
+    number = "2",
+    year = "1993",
+    url = "https://www.aclweb.org/anthology/J93-2004",
+    pages = "313--330",
+}
+"""
+
+# TODO: Add description of the dataset here
+# You can copy an official description
+_DESCRIPTION = """\
+This is the Penn Treebank Project: Release 2 CDROM, featuring a million words of 1989 Wall Street Journal material. This corpus has been annotated for part-of-speech (POS) information. In addition, over half of it has been annotated for skeletal syntactic structure.
+"""
+
+# TODO: Add a link to an official homepage for the dataset here
+_HOMEPAGE = "https://catalog.ldc.upenn.edu/LDC99T42"
+
+# TODO: Add the licence for the dataset here if you can find it
+_LICENSE = "LDC User Agreement for Non-Members"
+
+# TODO: Add link to the official dataset URLs here
+# The HuggingFace dataset library don't host the datasets but only point to the original files
+# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
+_URL = "https://raw.githubusercontent.com/wojzaremba/lstm/master/data/"
+_TRAINING_FILE = "ptb.train.txt"
+_DEV_FILE = "ptb.valid.txt"
+_TEST_FILE = "ptb.test.txt"
+
+
+class PtbTextOnlyConfig(datasets.BuilderConfig):
+    """BuilderConfig for PtbTextOnly"""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig PtbTextOnly.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(PtbTextOnlyConfig, self).__init__(**kwargs)
+
+
+class PtbTextOnly(datasets.GeneratorBasedBuilder):
+    """Load the Penn Treebank dataset."""
+
+    VERSION = datasets.Version("1.1.0")
+
+    # This is an example of a dataset with multiple configurations.
+    # If you don't want/need to define several sub-sets in your dataset,
+    # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
+
+    # If you need to make complex sub-parts in the datasets with configurable options
+    # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
+    # BUILDER_CONFIG_CLASS = MyBuilderConfig
+
+    # You will be able to load one or the other configurations in the following list with
+    # data = datasets.load_dataset('my_dataset', 'first_domain')
+    # data = datasets.load_dataset('my_dataset', 'second_domain')
+    BUILDER_CONFIGS = [
+        PtbTextOnlyConfig(
+            name="penn_treebank",
+            version=VERSION,
+            description="Load the Penn Treebank dataset",
+        ),
+    ]
+
+    def _info(self):
+        features = datasets.Features({"sentence": datasets.Value("string")})
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # This defines the different columns of the dataset and their types
+            features=features,  # Here we define them above because they are different between the two configurations
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage=_HOMEPAGE,
+            # License for the dataset if available
+            license=_LICENSE,
+            # Citation for the dataset
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
+        # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
+
+        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
+        # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
+        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
+        my_urls = {
+            "train": f"{_URL}{_TRAINING_FILE}",
+            "dev": f"{_URL}{_DEV_FILE}",
+            "test": f"{_URL}{_TEST_FILE}",
+        }
+        data_dir = dl_manager.download_and_extract(my_urls)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_dir["train"]}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_dir["test"]}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_dir["dev"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        # TODO: This method will receive as arguments the `gen_kwargs` defined in the previous `_split_generators` method.
+        # It is in charge of opening the given file and yielding (key, example) tuples from the dataset
+        # The key is not important, it's more here for legacy reason (legacy from tfds)
+        with open(filepath, encoding="utf-8") as f:
+            for id_, line in enumerate(f):
+                line = line.strip()
+                yield id_, {"sentence": line}