Update README.md

README.md

@@ -1,55 +1,17 @@
 ---
-annotations_creators:
-- expert-generated
-language_creators:
-- expert-generated
+license: mit
+task_categories:
+- token-classification
 language:
 - en
-license:
-- mit
-multilinguality:
-- monolingual
+tags:
+- Business Process Management
+- NLP
+- ML
+- DL
 pretty_name: PET
 size_categories:
-- 1K<n<10K
-source_datasets:
-- Friedrich et al. original dataset
-task_categories:
-- token-classification
-task_ids:
-- token classification
-- named entity recognition
-- relation extraction
-dataset_info:
-  features:
-  - name: document name
-    dtype: string
-  - name: tokens
-    sequence: string
-  - name: tokens-IDs
-    sequence: int8
-  - name: ner_tags
-    sequence: string
-  - name: sentence-IDs
-    sequence: int8
-  - name: relations
-    sequence:
-    - name: source-head-sentence-ID
-      dtype: int8
-    - name: source-head-word-ID
-      dtype: int8
-    - name: relation-type
-      dtype: string
-    - name: target-head-sentence-ID
-      dtype: int8
-    - name: target-head-word-ID
-      dtype: int8
-  splits:
-  - name: test
-    num_bytes: 203379
-    num_examples: 45
-  download_size: 38326
-  dataset_size: 203379
+- n<1K
 ---
 
 # PET: A NEW DATASET FOR PROCESS EXTRACTION FROM TEXT
@@ -288,24 +250,56 @@ The *Further Specification* process element was the most difficult element to an
 ### Citation Information
 
 ```
-@article{DBLP:journals/corr/abs-2203-04860,
-  author    = {Patrizio Bellan and
-               Han van der Aa and
-               Mauro Dragoni and
-               Chiara Ghidini and
-               Simone Paolo Ponzetto},
-  title     = {{PET:} {A} new Dataset for Process Extraction from Natural Language
-               Text},
-  journal   = {CoRR},
-  volume    = {abs/2203.04860},
-  year      = {2022},
-  url       = {https://doi.org/10.48550/arXiv.2203.04860},
-  doi       = {10.48550/arXiv.2203.04860},
-  eprinttype = {arXiv},
-  eprint    = {2203.04860},
-  timestamp = {Wed, 16 Mar 2022 16:39:52 +0100},
-  biburl    = {https://dblp.org/rec/journals/corr/abs-2203-04860.bib},
-  bibsource = {dblp computer science bibliography, https://dblp.org}
+@inproceedings{DBLP:conf/aiia/BellanGDPA22,
+  author       = {Patrizio Bellan and
+                  Chiara Ghidini and
+                  Mauro Dragoni and
+                  Simone Paolo Ponzetto and
+                  Han van der Aa},
+  editor       = {Debora Nozza and
+                  Lucia C. Passaro and
+                  Marco Polignano},
+  title        = {Process Extraction from Natural Language Text: the {PET} Dataset and
+                  Annotation Guidelines},
+  booktitle    = {Proceedings of the Sixth Workshop on Natural Language for Artificial
+                  Intelligence {(NL4AI} 2022) co-located with 21th International Conference
+                  of the Italian Association for Artificial Intelligence (AI*IA 2022),
+                  Udine, November 30th, 2022},
+  series       = {{CEUR} Workshop Proceedings},
+  volume       = {3287},
+  pages        = {177--191},
+  publisher    = {CEUR-WS.org},
+  year         = {2022},
+  url          = {https://ceur-ws.org/Vol-3287/paper18.pdf},
+  timestamp    = {Fri, 10 Mar 2023 16:23:01 +0100},
+  biburl       = {https://dblp.org/rec/conf/aiia/BellanGDPA22.bib},
+  bibsource    = {dblp computer science bibliography, https://dblp.org}
+}
+
+@inproceedings{DBLP:conf/bpm/BellanADGP22,
+  author       = {Patrizio Bellan and
+                  Han van der Aa and
+                  Mauro Dragoni and
+                  Chiara Ghidini and
+                  Simone Paolo Ponzetto},
+  editor       = {Cristina Cabanillas and
+                  Niels Frederik Garmann{-}Johnsen and
+                  Agnes Koschmider},
+  title        = {{PET:} An Annotated Dataset for Process Extraction from Natural Language
+                  Text Tasks},
+  booktitle    = {Business Process Management Workshops - {BPM} 2022 International Workshops,
+                  M{\"{u}}nster, Germany, September 11-16, 2022, Revised Selected
+                  Papers},
+  series       = {Lecture Notes in Business Information Processing},
+  volume       = {460},
+  pages        = {315--321},
+  publisher    = {Springer},
+  year         = {2022},
+  url          = {https://doi.org/10.1007/978-3-031-25383-6\_23},
+  doi          = {10.1007/978-3-031-25383-6\_23},
+  timestamp    = {Tue, 14 Feb 2023 09:47:10 +0100},
+  biburl       = {https://dblp.org/rec/conf/bpm/BellanADGP22.bib},
+  bibsource    = {dblp computer science bibliography, https://dblp.org}
 }
 ```
 
@@ -318,7 +312,7 @@ Thanks to [Patrizio Bellan](https://pdi.fbk.eu/bellan/) for adding this dataset.
 ####  <a name="updates"></a>Update
 - v1.0.0: Added token classification task
 - v1.0.1: Added extraction relation task
-
+- v1.1.0: Fixed minor errors, fixed performs relations
 
 
 ## <a name="annotationguidelines"></a>Annotation Guidelines
@@ -341,7 +335,7 @@ A python interface (beta version) to interact with the dataset can be found [her
 
 ### Benchmarks
 
-A python benchmarking procedure to test approaches on the PET dataset will be released soon.
+A python benchmarking procedure package to test approaches on the PET dataset ca be found [here](https://pypi.org/project/petbenchmarks/)
 
 
 ##  <a name="loadingdata"></a>Loading data