Dataset Card for squad-conflict-dataset3

This dataset has been created with distilabel.

  Dataset Summary

This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/fshala/squad-conflict-dataset3/raw/main/pipeline.yaml"

or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/fshala/squad-conflict-dataset3.

Dataset Card for AutoTrain Evaluator

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

Task: Question Answering Model: Aiyshwariya/bert-finetuned-squad Dataset: squad Config: plain_text Split: validation

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

  Contributions

Thanks to @jsfs11 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: Jiqing/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad Dataset: squad Config: plain_text Split: validation

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

  Contributions

Thanks to @florence 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: autoevaluate/extractive-question-answering-not-evaluated Dataset: autoevaluate/squad-sample Config: autoevaluate--squad-sample Split: test

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: FardinSaboori/bert-finetuned-squad Dataset: squad Config: plain_text Split: validation

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

  Contributions

Thanks to @ahmetgunduz 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: Akari/albert-base-v2-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: nbroad/rob-base-superqa2 Dataset: squad Config: plain_text Split: validation

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

  Contributions

Thanks to @nbroad 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: abhilash1910/albert-squad-v2 Dataset: squad_v2 Config: squad_v2 Split: validation

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

  Contributions

Thanks to @anchal 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: Firat/roberta-base-finetuned-squad Dataset: adversarial_qa Config: adversarialQA Split: validation

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

  Contributions

Thanks to @tp 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: Akihiro2/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 @zhouzj for evaluating this model.