Dataset · Hugging Face

cambridgeltl/vsr_random

Name: vsr_random
Creator: cambridgeltl
License: cc-by-4.0
Keywords: task_categories:text-classification, task_categories:question-answering, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:json, modality:image, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2205.00363, region:us

VSR: Visual Spatial Reasoning This is the random set of VSR: Visual Spatial Reasoning (TACL 2023) [paper]. Usage from datasets import load_dataset data_files = {"train": "train.jsonl", "dev": "dev.jsonl", "test": "test.jsonl"} dataset = load_dataset("cambridgeltl/vsr_random", data_files=data_files) Note that the image files still need to be downloaded separately. See data/ for details. Go to our github repo for more introductions. Citation If you… See the full description on the dataset page: https://huggingface.co/datasets/cambridgeltl/vsr_random.

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Author / organization	cambridgeltl
License (as declared)	cc-by-4.0
Downloads	1.8K (as reported by Hugging Face)
Likes	4
Created	22 March 2023
Last updated at source	22 March 2023

multimodalityvision-and-language

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16 Oct 2026 Description: VSR: Visual Spatial Reasoning This is the random set of VSR: Visual Spatial Reasoning (TACL 2023) [paper]. Usage from datasets import load_dataset data_files = {"train": "train.jsonl", "dev": "dev.jsonl", "test": "test.jsonl"} dataset = loa → VSR: Visual Spatial Reasoning This is the random set of VSR: Visual Spatial Reasoning (TACL 2023) [paper]. Usage from datasets import load_dataset data_files = {"train": "train.jsonl", "dev": "dev.jsonl", "test": "test.jsonl"} dataset = loa

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