Datasets:

biglam
/

illustrated_ads

Tasks:

Image Classification

Modalities:

Sub-tasks:

multi-class-image-classification

Size:

Tags:

historic newspapers

Libraries:

License:

Dataset card Viewer Files Files and versions Community

davanstrien HF staff commited on Sep 13, 2022

Commit

bbf5dcc

•

1 Parent(s): 30f75f1

Update illustrated_ads.py

Files changed (1) hide show

illustrated_ads.py +0 -3

illustrated_ads.py CHANGED Viewed

@@ -19,8 +19,6 @@ import pandas as pd
 import datasets
 from PIL import Image
-# TODO: Add BibTeX citation
-# Find for instance the citation on arxiv or on the dataset repo/website
 _CITATION = """\
 @dataset{van_strien_daniel_2021_5838410,
   author       = {van Strien, Daniel},
@@ -60,7 +58,6 @@ _DTYPES = {
 }
-# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
 class IllustratedAds(datasets.GeneratorBasedBuilder):
     """TODO: Short description of my dataset."""

 import datasets
 from PIL import Image
 _CITATION = """\
 @dataset{van_strien_daniel_2021_5838410,
   author       = {van Strien, Daniel},
 }
 class IllustratedAds(datasets.GeneratorBasedBuilder):
     """TODO: Short description of my dataset."""