Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

Task: Question Answering Model: deepset/deberta-v3-base-squad2 Dataset: squad Config: plain_text Split: validation

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

  Contributions

Thanks to @mbartolo for evaluating this model.

XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German, Greek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, and Hindi. Consequently, the dataset is entirely parallel across 11 languages. To run XQuAD in the default zero-shot setting, use the SQuAD v1.1 training and validation data here: https://www.tensorflow.org/datasets/catalog/squad

We also include "translate-train", "translate-dev", and "translate-test" splits for each non-English language from XTREME (Hu et al., 2020). These can be used to run XQuAD in the "translate-train" or "translate-test" settings.

To use this dataset:

import tensorflow_datasets as tfds

ds = tfds.load('xquad', split='train')
for ex in ds.take(4):
 print(ex)

See the guide for more informations on tensorflow_datasets.

Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

Task: Question Answering Model: autoevaluate/extractive-question-answering Dataset: squad Config: plain_text Split: validation

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

  Contributions

Thanks to @lewtun for evaluating this model.

Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

Task: Question Answering Model: srcocotero/bert-qa-en Dataset: squad Config: plain_text Split: validation

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

  Contributions

Thanks to @abrar06 for evaluating this model.

Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

Task: Question Answering Model: Plimpton/distilbert-base-uncased-finetuned-squad Dataset: squad_v2 Config: squad_v2 Split: validation

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

  Contributions

Thanks to @lewtun for evaluating this model.

Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

Task: Question Answering Model: mrp/bert-finetuned-squad Dataset: squad

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

  Contributions

Thanks to @thomwolf for evaluating this model.

Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

Task: Question Answering Model: mrp/bert-finetuned-squad Dataset: adversarial_qa Config: adversarialQA Split: validation

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

  Contributions

Thanks to @mbartolo for evaluating this model.

Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

Task: Question Answering Model: jgammack/SAE-roberta-base-squad Dataset: adversarial_qa Config: adversarialQA Split: validation

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

  Contributions

Thanks to @jtatman for evaluating this model.