This repository contains information about how to access the dataset described in the paper below:
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks
In the proceedings of Association of Computational Linguistics ACL2020
Angela S. Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey, Bill Dolan
Microsoft Research, Redmond, WA, USA
Contact Person: Sudha Rao (Sudha.Rao@microsoft.com)
pip install azure-storage-blob
Run the following in a python3 environment:
from azure.storage.blob import BlobClient
blob_client = BlobClient.from_blob_url(blob_url="https://recipecorpus.z13.web.core.windows.net/multimodal-aligned-recipe-corpus.zip")
with open("./multimodal-aligned-recipe-corpus.zip", "wb") as my_blob:
blob_data = blob_client.download_blob()
blob_data.readinto(my_blob)
Running this should download the zipped file (multimodal-aligned-recipe-corpus.zip) to the current directory.
Read multimodal-aligned-recipe-corpus/README.txt for further details about the format of the data.
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