amazon-science
document-haystack
Document Haystack Dataset
This repository contains the dataset for the paper “Document Haystack: A Long Context Multimodal Image/Document Understanding Vision LLM Benchmark”.
📑 Abstract Paper
The proliferation of multimodal Large Language Models has significantly advanced the ability to analyze and understand complex data inputs from different modalities. However, the processing of long documents remains under-explored, largely due to a lack of suitable benchmarks. To… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/document-haystack.MultilingualMultiModalClassification
Additional Information
To load the dataset,
import datasets
ds = datasets.load_dataset("AmazonScience/MultilingualMultiModalClassification", data_dir="wiki-doc-ar-merged")
print(ds)
DatasetDict({
train: Dataset({
features: ['image', 'filename', 'words', 'ocr_bboxes', 'label'],
num_rows: 8129
})
validation: Dataset({
features: ['image', 'filename', 'words', 'ocr_bboxes', 'label'],
num_rows: 1742
})
test: Dataset({
features:… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/MultilingualMultiModalClassification.massive MASSIVE is a parallel dataset of > 1M utterances across 51 languages with annotations
for the Natural Language Understanding tasks of intent prediction and slot annotation.
Utterances span 60 intents and include 55 slot types. MASSIVE was created by localizing
the SLURP dataset, composed of general Intelligent Voice Assistant single-shot interactions.SWE-PolyBench
SWE-PolyBench
SWE-PolyBench is a multi language repo level software engineering benchmark. Currently it includes 4 languages: Python, Java, Javascript, and Typescript. The number of instances in each language is:
Javascript: 1017
Typescript: 729
Python: 199
Java: 165
Datasets
There are total three datasets available under SWE-PolyBench. AmazonScience/SWE-PolyBench is the full dataset, AmazonScience/SWE-PolyBench_500 is the stratified sampled dataset with 500 instances and… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/SWE-PolyBench.migration-bench-java-full
MigrationBench
1. 📖 Overview
🤗 MigrationBench
is a large-scale code migration benchmark dataset at the repository level,
across multiple programming languages.
Current and initial release includes java 8 repositories with the maven build system… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/migration-bench-java-full.SWE-PolyBench_Verified
SWE-PolyBench
SWE-PolyBench is a multi language repo level software engineering benchmark. Currently it includes 4 languages: Python, Java, Javascript, and Typescript. The number of instances in the verified split is:
Javascript: 100
Typescript: 100
Python: 113
Java: 69
Datasets
There are total three datasets available under SWE-PolyBench. AmazonScience/SWE-PolyBench is the full dataset, AmazonScience/SWE-PolyBench_500 is the stratified sampled dataset with 500 instances… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/SWE-PolyBench_Verified.