This is the Linux app named Question Answering Corpus whose latest release can be downloaded as rc-datasourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Question Answering Corpus with OnWorks for free.
Befolgen Sie diese Anweisungen, um diese App auszuführen:
- 1. Diese Anwendung auf Ihren PC heruntergeladen.
- 2. Geben Sie in unserem Dateimanager https://www.onworks.net/myfiles.php?username=XXXXX den gewünschten Benutzernamen ein.
- 3. Laden Sie diese Anwendung in einem solchen Dateimanager hoch.
- 4. Starten Sie den OnWorks Linux-Online- oder Windows-Online-Emulator oder den MACOS-Online-Emulator von dieser Website.
- 5. Rufen Sie vom gerade gestarteten OnWorks Linux-Betriebssystem aus unseren Dateimanager https://www.onworks.net/myfiles.php?username=XXXXX mit dem gewünschten Benutzernamen auf.
- 6. Laden Sie die Anwendung herunter, installieren Sie sie und führen Sie sie aus.
SCREENSHOTS
Ad
Question Answering Corpus
BESCHREIBUNG
RC-Data is a dataset generation framework created by Google DeepMind to produce large-scale reading comprehension question-answer pairs from CNN and Daily Mail news articles. The dataset, introduced in the 2015 paper “Teaching Machines to Read and Comprehend” (Hermann et al., NIPS 2015), was among the first large corpora designed to train and evaluate machine reading and comprehension models. The repository provides scripts for downloading archived CNN and Daily Mail articles from the Wayback Machine and automatically generating cloze-style questions where entities in the text are replaced with placeholders. Each data instance consists of a news article (context), a generated question, and its corresponding answer, making it suitable for supervised machine learning setups. The output follows a standardized question-answer format, with entity mappings to help models resolve named references.
Eigenschaften
- Generates large-scale question-answer datasets from news articles
- Includes data from CNN and Daily Mail corpora via the Wayback Machine
- Produces questions, contexts, and answers in a standardized text format
- Supports entity anonymization through mapping for model training
- Offers a reproducible generation pipeline using Python scripts
- Compatible with machine comprehension and NLP benchmarking tasks
Programmiersprache
Python
Kategorien
This is an application that can also be fetched from https://sourceforge.net/projects/question-answer-corpus.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
