420 datasets found

A dataset for the Zero Resource Speech Challenge 2015.

A dataset for the Zero Resource Speech Challenge 2015.

A dataset for the Zero Resource Speech Challenge 2015.

A segmental Bayesian model for full-coverage segmentation and clustering of conversational speech audio.

A large dataset for measuring bias in language models, including nearly 600 descriptor terms across 13 different demographic axes.

VAULT: a light-weight and parallel-efficient paragraph representation for Machine Reading Comprehension (MRC) based on contextualized representation from long document input

The SWSR dataset consists of two files: SexWeibo.csv and SexComment.csv, containing weibos (posts) and comments (replies) respectively.

The dataset used in this paper consists of three tasks: Multi-Genre Natural Language Inference (MNLI), Quora Question Pairs (QQP), and Stanford Sentiment Treebank (SST-2).

Larger language models have higher accu- racy on average, but are they better on ev- ery single instance (datapoint)?

This paper proposes a novel dialogue model with a latent structure that is easily transferable from the general domain to downstream tasks in a lightweight and transparent way.

WikiText-103 and Enwik8 datasets are used for language modeling tasks

The dataset used in the paper is a collection of text samples, including a valid argument, an invalid argument with circular logic, and a randomly generated text with a regular...

The dataset is a collection of Twitter tweets, filtered to include only English language tweets. The dataset is used to study out-of-vocabulary (OOV) words in Twitter.

SPAGHETTI: A hybrid open-domain question-answering system that combines semantic parsing and information retrieval to handle structured and unstructured data.

The Google-RE (Templates) dataset contains 6.11K template-based prompts from Wikipedia and 3 relations.

Template-based probing uses expert-made templates to create prompts, while template-free probing uses naturally-occurring text.

The dataset contains three passage-ranking datasets: WikipassageQA, InsuranceQA v2, and MS-MARCO.

In this paper, we propose a weak supervision framework for neural ranking tasks based on the data programming paradigm (Ratner et al., 2016), which enables us to leverage...

The R4R dataset is a larger VLN dataset than R2R and with more complicated navigation paths.

The R2R dataset is a dataset based on real photos taken in indoor environments. It attracts massive attention for its simple-form task, which at the same time requires complex...