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Imaging · dataset · 2022

fcc-comments

Listed in Hugging Face Datasets

Dataset Card for fcc-comments Dataset

Description

Summary

Online comment floods during public consultations have posed unique governance challenges for regulatory bodies seeking relevant information on proposed regulations. How should regulatory bodies separate spam and fake comments from genuine submissions by the public, especially when fake comments are designed to imitate ordinary citizens? How can regulatory bodies achieve both breadth and depth in their citations to the… See the full description on the dataset page: huggingface.co/datasets/slnader/fcc-comments.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
image · text retrieval
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsslnader/fcc-comments12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:imagesource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:text-retrievalsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0