Saved datasets
Last updated
Download format
Usage rights
License from data provider
Please review the applicable license to make sure your contemplated use is permitted.
Cost to access
Described as free to access or have a license that allows redistribution.
3 datasets found
  1. P

    Webis-TLDR-17 Corpus Dataset

    • +2more
    Updated Aug 31, 2017
  2. W


    Updated 2017
  3. h


    • +1more
    Updated Jun 12, 2020
  4. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Click to copy link
Link copied
Michael V{\"o}lske; Martin Potthast; Shahbaz Syed; Benno Stein (2017). Webis-TLDR-17 Corpus Dataset [Dataset].

Webis-TLDR-17 Corpus Dataset

Explore at:
Dataset updated
Aug 31, 2017
Michael V{\"o}lske; Martin Potthast; Shahbaz Syed; Benno Stein

This corpus contains preprocessed posts from the Reddit dataset, suitable for abstractive summarization using deep learning. The format is a json file where each line is a JSON object representing a post. The schema of each post is shown below: - author: string (nullable = true) - body: string (nullable = true) - normalizedBody: string (nullable = true) - content: string (nullable = true) - content_len: long (nullable = true) - summary: string (nullable = true) - summary_len: long (nullable = true) - id: string (nullable = true) - subreddit: string (nullable = true) - subreddit_id: string (nullable = true) - title: string (nullable = true)

Specifically, the content and summary fields can be directly used as inputs to a deep learning model (e.g. Sequence to Sequence model ). The dataset consists of 3,848,330 posts with an average length of 270 words for content, and 28 words for the summary. The dataset is a combination of both the Submissions and Comments merged on the common schema. As a result, most of the comments which do not belong to any submission have null as their title.

Note : This corpus does not contain a separate test set. Thus it is up to the users to divide the corpus into appropriate training, validation and test sets.

Clear search
Close search
Google apps
Main menu