NLP常用数据集

原文地址: https://machinelearningmastery.com/datasets-natural-language-processing/

针对NLP中常见的7个问题进行分类,归纳常用数据集,mark之

  • Text Classification
  • Language Modeling
  • Image Captioning
  • Machine Translation
  • Question Answering
  • Speech Recognition
  • Document Summarization

Text Classification

Text classification refers to labeling sentences or documents, such as email spam classification and sentiment analysis.

Below are some good beginner text classification datasets.

  1. Reuters Newswire Topic Classification (Reuters-21578). A collection of news documents that appeared on Reuters in 1987 indexed by categories. Also see RCV1, RCV2 and TRC2.
  2. [IMDB Movie Review Sentiment Classification] (stanford)(http://ai.stanford.edu/~amaas/data/sentiment/). A collection of movie reviews from the website imdb.com and their positive or negative sentiment.
  3. News Group Movie Review Sentiment Classification (cornell). A collection of movie reviews from the website imdb.com and their positive or negative sentiment.

For more, see the post: Datasets for single-label text categorization.

Language Modeling

Language modeling involves developing a statistical model for predicting the next word in a sentence or next letter in a word given whatever has come before. It is a pre-cursor task in tasks like speech recognition and machine translation.

It is a pre-cursor task in tasks like speech recognition and machine translation.

Below are some good beginner language modeling datasets.

  1. Project Gutenberg, a large collection of free books that can be retrieved in plain text for a variety of languages.
  2. There are more formal corpora that are well studied; for example: Brown University Standard Corpus of Present-Day American English. A large sample of English words. Google 1 Billion Word Corpus.

Image Captioning

mage captioning is the task of generating a textual description for a given image.

Below are some good beginner image captioning datasets.

  1. Common Objects in Context (COCO). A collection of more than 120 thousand images with descriptions
  2. Flickr 8K. A collection of 8 thousand described images taken from flickr.com.
  3. Flickr 30K. A collection of 30 thousand described images taken from flickr.com. For more see the post:

Exploring Image Captioning Datasets, 2016

Machine Translation

Machine translation is the task of translating text from one language to another.

Below are some good beginner machine translation datasets.

  1. Aligned Hansards of the 36th Parliament of Canada. Pairs of sentences in English and French.
  2. European Parliament Proceedings Parallel Corpus 1996-2011. Sentences pairs of a suite of European languages. There are a ton of standard datasets used for the annual machine translation challenges; see:

Statistical Machine Translation

Question Answering

Question answering is a task where a sentence or sample of text is provided from which questions are asked and must be answered.

Below are some good beginner question answering datasets.

  1. Stanford Question Answering Dataset (SQuAD). Question answering about Wikipedia articles.
  2. Deepmind Question Answering Corpus. Question answering about news articles from the Daily Mail.
  3. Amazon question/answer data. Question answering about Amazon products. For more, see the post:

Datasets: How can I get corpus of a question-answering website like Quora or Yahoo Answers or Stack Overflow for analyzing answer quality?

Speech Recognition

Speech recognition is the task of transforming audio of a spoken language into human readable text.

Below are some good beginner speech recognition datasets.

  1. TIMIT Acoustic-Phonetic Continuous Speech Corpus. Not free, but listed because of its wide use. Spoken American English and associated transcription.
  2. VoxForge. Project to build an open source database for speech recognition.
  3. LibriSpeech ASR corpus. Large collection of English audiobooks taken from LibriVox.

Document Summarization

Document summarization is the task of creating a short meaningful description of a larger document.

Below are some good beginner document summarization datasets.

  1. Legal Case Reports Data Set. A collection of 4 thousand legal cases and their summarization.
  2. TIPSTER Text Summarization Evaluation Conference Corpus. A collection of nearly 200 documents and their summaries.
  3. The AQUAINT Corpus of English News Text. Not free, but widely used. A corpus of news articles. For more see:

Document Understanding Conference (DUC) Tasks. Where can I find good data sets for text summarization?

Further Reading

This section provides additional lists of datasets if you are looking to go deeper.

  1. Text Datasets Used in Research on Wikipedia
  2. Datasets: What are the major text corpora used by computational linguists and natural language processing researchers?
  3. Stanford Statistical Natural Language Processing Corpora
  4. Alphabetical list of NLP Datasets
  5. NLTK Corpora
  6. Open Data for Deep Learning on DL4J
  7. NLP datasets

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