Update LILA.py

LILA.py

@@ -25,6 +25,102 @@ import pandas as pd
 
 import datasets
 
+_LILA_CITATIONS = {
+    "Caltech Camera Traps": """
+    @inproceedings{DBLP:conf/eccv/BeeryHP18,
+      author    = {Sara Beery and
+                   Grant Van Horn and
+                   Pietro Perona},
+      title     = {Recognition in Terra Incognita},
+      booktitle = {Computer Vision - {ECCV} 2018 - 15th European Conference, Munich,
+                   Germany, September 8-14, 2018, Proceedings, Part {XVI}},
+      pages     = {472--489},
+      year      = {2018},
+      crossref  = {DBLP:conf/eccv/2018-16},
+      url       = {https://doi.org/10.1007/978-3-030-01270-0\_28},
+      doi       = {10.1007/978-3-030-01270-0\_28},
+      timestamp = {Mon, 08 Oct 2018 17:08:07 +0200},
+      biburl    = {https://dblp.org/rec/bib/conf/eccv/BeeryHP18},
+      bibsource = {dblp computer science bibliography, https://dblp.org}
+    }    
+    """,
+    "ENA24": """
+    @article{yousif2019dynamic,
+    title={Dynamic Programming Selection of Object Proposals for Sequence-Level Animal Species Classification in the Wild},
+    author={Yousif, Hayder and Kays, Roland and He, Zhihai},
+    journal={IEEE Transactions on Circuits and Systems for Video Technology},
+    year={2019},
+    publisher={IEEE}
+    }
+    """,
+    "Missouri Camera Traps": """
+    @article{zhang2016animal,
+      title={Animal detection from highly cluttered natural scenes using spatiotemporal object region proposals and patch verification},
+      author={Zhang, Zhi and He, Zhihai and Cao, Guitao and Cao, Wenming},
+      journal={IEEE Transactions on Multimedia},
+      volume={18},
+      number={10},
+      pages={2079--2092},
+      year={2016},
+      publisher={IEEE}
+    }    
+    """,
+    "NACTI": """
+    @article{tabak2019machine,
+      title={Machine learning to classify animal species in camera trap images: Applications in ecology},
+      author={Tabak, Michael A and Norouzzadeh, Mohammad S and Wolfson, David W and Sweeney, Steven J and VerCauteren, Kurt C and Snow, Nathan P and Halseth, Joseph M and Di Salvo, Paul A and Lewis, Jesse S and White, Michael D and others},
+      journal={Methods in Ecology and Evolution},
+      volume={10},
+      number={4},
+      pages={585--590},
+      year={2019},
+      publisher={Wiley Online Library}
+    }    
+    """,
+    "WCS Camera Traps": "",
+    "Wellington Camera Traps": """
+    @article{anton2018monitoring,
+      title={Monitoring the mammalian fauna of urban areas using remote cameras and citizen science},
+      author={Anton, Victor and Hartley, Stephen and Geldenhuis, Andre and Wittmer, Heiko U},
+      journal={Journal of Urban Ecology},
+      volume={4},
+      number={1},
+      pages={juy002},
+      year={2018},
+      publisher={Oxford University Press}
+    }    
+    """,
+    "Island Conservation Camera Traps": "",
+    "Channel Islands Camera Traps": "",
+    "Idaho Camera Traps": "",
+    "Snapshot Serengeti": """
+    @misc{dryad_5pt92,
+        title = {Data from: Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna},
+        author = {Swanson, AB and Kosmala, M and Lintott, CJ and Simpson, RJ and Smith, A and Packer, C},
+        year = {2015},
+        journal = {Scientific Data},
+        URL = {https://doi.org/10.5061/dryad.5pt92},
+        doi = {doi:10.5061/dryad.5pt92},
+        publisher = {Dryad Digital Repository}
+    }    
+    """,
+    "Snapshot Karoo": "",
+    "Snapshot Kgalagadi": "",
+    "Snapshot Enonkishu": "",
+    "Snapshot Camdeboo": "",
+    "Snapshot Mountain Zebra": "",
+    "Snapshot Kruger": "",
+    "SWG Camera Traps": "",
+    "Orinoquia Camera Traps": """
+    @article{velez2022choosing,
+      title={Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence},
+      author={V{\'e}lez, Juliana and Castiblanco-Camacho, Paula J and Tabak, Michael A and Chalmers, Carl and Fergus, Paul and Fieberg, John},
+      journal={arXiv preprint arXiv:2202.02283},
+      year={2022}
+    }    
+    """,
+}
+
 # You can copy an official description
 _DESCRIPTION = """\
 LILA Camera Traps is an aggregate data set of images taken by camera traps, which are devices that automatically (e.g. via motion detection) capture images of wild animals to help ecological research.
@@ -804,7 +900,7 @@ class LILA(datasets.GeneratorBasedBuilder):
             description=_DESCRIPTION,
             features=features,
             homepage=_HOMEPAGE,
-            citation=_CITATION,
+            citation=_LILA_CITATIONS[self.config.name],
         )
 
     def _split_generators(self, dl_manager):