Dataset Card for "anli"

  Dataset Summary

The Adversarial Natural Language Inference (ANLI) is a new large-scale NLI benchmark dataset, The dataset is collected via an iterative, adversarial human-and-model-in-the-loop procedure. ANLI is much more difficult than its predecessors including SNLI and MNLI. It contains three rounds. Each round has train/dev/test splits.

  Supported Tasks and Leaderboards

More Information Needed

  Languages

English… See the full description on the dataset page: https://huggingface.co/datasets/facebook/anli.

The Adversarial Natural Language Inference (ANLI, Nie et al.) is a new large-scale NLI benchmark dataset, collected via an iterative, adversarial human-and-model-in-the-loop procedure. Particular, the data is selected to be difficult to the state-of-the-art models, including BERT and RoBERTa.

Adversarial NLI (ANLI) is a large-scale NLI benchmark dataset, collected via an iterative, adversarial human-and-model-in-the-loop procedure.

To use this dataset:

import tensorflow_datasets as tfds

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

See the guide for more informations on tensorflow_datasets.

Facebook ANLI Claims Dataset

This dataset is a reformatted version of the facebook/anli dataset, reorganized by their original labels. The original dataset's splits have been combined and separated into three distinct dataset configurations based on their labels: entailment, neutral, and contradiction. For each configuration:

Input: Premise text Output: A JSON list of hypotheses associated with the premise.

Dataset Card for AutoTrain Evaluator

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

Task: Natural Language Inference Model: MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli Dataset: multi_nli Config: default Split: validation_mismatched

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

  Contributions

Thanks to @MoritzLaurer for evaluating this model.

Dataset is an NLI benchmark created via human-and-model-in-the-loop enabled training (HAMLET). Human was tasked to provide a hypothesis that fools the model into misclassifying the label.

Dataset

This dataset was created by lkyande

Released under Apache 2.0

Contents

oumi-ai/oumi-anli-subset

oumi-anli-subset is a text dataset designed to fine-tune language models for Claim Verification. Prompts were pulled from ANLI training sets with responses created from Llama-3.1-405B-Instruct. oumi-anli-subset was used to train HallOumi-8B, which achieves 77.2% Macro F1, outperforming SOTA models such as Claude Sonnet 3.5, OpenAI o1, etc.

Curated by: Oumi AI using Oumi inference Language(s) (NLP): English License: CC-BY-NC-4.0, Llama 3.1 Community… See the full description on the dataset page: https://huggingface.co/datasets/oumi-ai/oumi-anli-subset.

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Dataset Card for GRPO Oumi ANLI Subset

  Dataset

This dataset is a reformatted version of the oumi-ai/oumi-anli-subset dataset, specifically structured for use with the GRPO trainer. You can find more detailed information about the original dataset at the provided link. Link: https://huggingface.co/datasets/oumi-ai/oumi-anli-subset

  Dataset Structure

The dataset consists of a list of dictionaries, where each dictionary represents a single data instance with a… See the full description on the dataset page: https://huggingface.co/datasets/TEEN-D/grpo-oumi-anli-subset.