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docs: add citation and arxiv link

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  1. README.md +19 -4
  2. dataset_infos.json +1 -1
  3. prost.py +22 -7
README.md CHANGED
@@ -54,7 +54,7 @@ task_ids:
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  - **Homepage:**
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  - **Repository:** https://github.com/nala-cub/prost
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- - **Paper:**
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  - **Leaderboard:**
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  - **Point of Contact:** [Stéphane Aroca-Ouellette](mailto:stephane.aroca-ouellette@colorado.edu)
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@@ -158,12 +158,27 @@ PROST is designed to avoid models succeeding in unintended ways. First, PROST pr
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  ### Licensing Information
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- [More Information Needed]
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  ### Citation Information
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- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Contributions
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- Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
 
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  - **Homepage:**
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  - **Repository:** https://github.com/nala-cub/prost
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+ - **Paper:** https://arxiv.org/abs/2106.03634
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  - **Leaderboard:**
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  - **Point of Contact:** [Stéphane Aroca-Ouellette](mailto:stephane.aroca-ouellette@colorado.edu)
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  ### Licensing Information
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+ PROST is licensed under the Apache 2.0 license.
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  ### Citation Information
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+ ```
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+ @inproceedings{aroca-ouellette-etal-2021-prost,
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+ title = "{PROST}: {P}hysical Reasoning about Objects through Space and Time",
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+ author = "Aroca-Ouellette, St{\'e}phane and
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+ Paik, Cory and
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+ Roncone, Alessandro and
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+ Kann, Katharina",
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+ booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
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+ month = aug,
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+ year = "2021",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2021.findings-acl.404",
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+ pages = "4597--4608",
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+ }
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+ ```
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  ### Contributions
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+ Thanks to [@corypaik](https://github.com/corypaik) for adding this dataset.
dataset_infos.json CHANGED
@@ -1 +1 @@
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- {"default": {"description": "*Physical Reasoning about Objects Through Space and Time* (PROST) is a probing dataset to evaluate the ability of pretrained LMs to understand and reason about the physical world. PROST consists of 18,736 cloze-style multiple choice questions from 14 manually curated templates, covering 10 physical reasoning concepts: direction, mass, height, circumference, stackable, rollable, graspable, breakable, slideable, and bounceable.\n", "citation": "", "homepage": "https://github.com/nala-cub/prost", "license": "Apache 2.0", "features": {"A": {"dtype": "string", "id": null, "_type": "Value"}, "B": {"dtype": "string", "id": null, "_type": "Value"}, "C": {"dtype": "string", "id": null, "_type": "Value"}, "D": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "ex_question": {"dtype": "string", "id": null, "_type": "Value"}, "group": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 4, "names": ["A", "B", "C", "D"], "names_file": null, "id": null, "_type": "ClassLabel"}, "name": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "prost", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 5698256, "num_examples": 18736, "dataset_name": "prost"}}, "download_checksums": {"https://huggingface.co/datasets/corypaik/prost/resolve/main/data/default.jsonl": {"num_bytes": 7197063, "checksum": "05d773ae2768047579ea22415fc593199430747027b3df5621e60044fe893bde"}}, "download_size": 7197063, "post_processing_size": null, "dataset_size": 5698256, "size_in_bytes": 12895319}}
 
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+ {"default": {"description": "*Physical Reasoning about Objects Through Space and Time* (PROST) is a probing dataset to evaluate the ability of pretrained LMs to understand and reason about the physical world. PROST consists of 18,736 cloze-style multiple choice questions from 14 manually curated templates, covering 10 physical reasoning concepts: direction, mass, height, circumference, stackable, rollable, graspable, breakable, slideable, and bounceable.\n", "citation": "@inproceedings{aroca-ouellette-etal-2021-prost,\n title = \"{PROST}: {P}hysical Reasoning about Objects through Space and Time\",\n author = \"Aroca-Ouellette, St{'e}phane and\n Paik, Cory and\n Roncone, Alessandro and\n Kann, Katharina\",\n booktitle = \"Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.findings-acl.404\",\n pages = \"4597--4608\",\n}\n", "homepage": "https://github.com/nala-cub/prost", "license": "Apache 2.0", "features": {"A": {"dtype": "string", "id": null, "_type": "Value"}, "B": {"dtype": "string", "id": null, "_type": "Value"}, "C": {"dtype": "string", "id": null, "_type": "Value"}, "D": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "ex_question": {"dtype": "string", "id": null, "_type": "Value"}, "group": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 4, "names": ["A", "B", "C", "D"], "names_file": null, "id": null, "_type": "ClassLabel"}, "name": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "prost", "config_name": "default", "version": {"version_str": "1.0.1", "description": null, "major": 1, "minor": 0, "patch": 1}, "splits": {"test": {"name": "test", "num_bytes": 5698256, "num_examples": 18736, "dataset_name": "prost"}}, "download_checksums": {"https://huggingface.co/datasets/corypaik/prost/resolve/main/data/default.jsonl": {"num_bytes": 7197063, "checksum": "05d773ae2768047579ea22415fc593199430747027b3df5621e60044fe893bde"}}, "download_size": 7197063, "post_processing_size": null, "dataset_size": 5698256, "size_in_bytes": 12895319}}
prost.py CHANGED
@@ -12,17 +12,33 @@
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  # See the License for the specific language governing permissions and
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  # limitations under the License.
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  # ==============================================================================
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- """TODO: Add a description here."""
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-
 
 
 
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  import json
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  import datasets
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- # TODO: Add BibTeX citation
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- # Find for instance the citation on arxiv or on the dataset repo/website
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  _CITATION = """\
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  """
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- # TODO: Add description of the dataset here
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  _DESCRIPTION = """\
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  *Physical Reasoning about Objects Through Space and Time* (PROST) is a probing dataset to evaluate the ability of pretrained LMs to understand and reason about the physical world. PROST consists of 18,736 cloze-style multiple choice questions from 14 manually curated templates, covering 10 physical reasoning concepts: direction, mass, height, circumference, stackable, rollable, graspable, breakable, slideable, and bounceable.
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  """
@@ -38,9 +54,8 @@ MC_LABELS = list('ABCD')
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  class Prost(datasets.GeneratorBasedBuilder):
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- """TODO: Short description of my dataset."""
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- VERSION = datasets.Version('1.0.0')
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  def _info(self):
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  features = datasets.Features({
 
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  # See the License for the specific language governing permissions and
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  # limitations under the License.
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  # ==============================================================================
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+ """ Physical Reasoning about Objects Through Space and Time (PROST)
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+
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+ PROST is a probing dataset to evaluate the ability of pretrained LMs to
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+ understand and reason about the physical world.
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+ """
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  import json
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  import datasets
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+
 
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  _CITATION = """\
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+ @inproceedings{aroca-ouellette-etal-2021-prost,
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+ title = "{PROST}: {P}hysical Reasoning about Objects through Space and Time",
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+ author = "Aroca-Ouellette, St{\'e}phane and
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+ Paik, Cory and
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+ Roncone, Alessandro and
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+ Kann, Katharina",
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+ booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
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+ month = aug,
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+ year = "2021",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2021.findings-acl.404",
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+ pages = "4597--4608",
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+ }
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  """
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+
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  _DESCRIPTION = """\
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  *Physical Reasoning about Objects Through Space and Time* (PROST) is a probing dataset to evaluate the ability of pretrained LMs to understand and reason about the physical world. PROST consists of 18,736 cloze-style multiple choice questions from 14 manually curated templates, covering 10 physical reasoning concepts: direction, mass, height, circumference, stackable, rollable, graspable, breakable, slideable, and bounceable.
44
  """
 
54
 
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  class Prost(datasets.GeneratorBasedBuilder):
 
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+ VERSION = datasets.Version('1.0.1')
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  def _info(self):
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  features = datasets.Features({