Merge branch 'main' of https://huggingface.co/datasets/fgrezes/WIESP2022-NER into main

README.md

@@ -3,9 +3,15 @@ annotations_creators:
 - expert-generated
 language_creators:
 - found
+<<<<<<< HEAD
 languages:
 - en
 licenses:
+=======
+language:
+- en
+license:
+>>>>>>> 297571f844c69c59b0a7d6325ad12c86b64aa523
 - cc-by-4.0
 multilinguality:
 - monolingual
@@ -19,6 +25,10 @@ task_ids:
 - named-entity-recognition
 ---
 # Dataset for the first <a href="https://ui.adsabs.harvard.edu/WIESP/" style="color:blue">Workshop on Information Extraction from Scientific Publications (WIESP/2022)</a>.
+<<<<<<< HEAD
+=======
+**(NOTE: loading from the Huggingface Dataset Hub directly does not work. You need to clone the repository locally.)**
+>>>>>>> 297571f844c69c59b0a7d6325ad12c86b64aa523
 
 ## Dataset Description
 Datasets with text fragments from astrophysics papers, provided by the [NASA Astrophysical Data System](https://ui.adsabs.harvard.edu/) with manually tagged astronomical facilities and other entities of interest (e.g., celestial objects).  
@@ -48,7 +58,11 @@ with open("./WIESP2022-NER-DEV.jsonl", 'r') as f:
 from datasets import Dataset
 wiesp_dev_from_json = Dataset.from_json(path_or_paths="./WIESP2022-NER-DEV.jsonl")
 ```
+<<<<<<< HEAD
 (NOTE: currently loading from the Huggingface Dataset Hub directly does not work. You need to clone the repository locally)
+=======
+(NOTE: loading from the Huggingface Dataset Hub directly does not work. You need to clone the repository locally.)
+>>>>>>> 297571f844c69c59b0a7d6325ad12c86b64aa523
 
 How to compute your scores on the training data:
 1. format your predictions as a list of dictionaries, each with the same `"unique_id"` and `"tokens"` keys from the dataset, as well as the list of predicted NER tags under the `"pred_ner_tags"` key (see `WIESP2022-NER-DEV-sample-predictions.jsonl` for an example).
@@ -68,6 +82,10 @@ To get scores on the validation data, zip your predictions file (a single `.json
 ├── WIESP2022-NER-DEV-sample-predictions.jsonl : an example file with properly formatted predictions on the development data.
 ├── WIESP2022-NER-VALIDATION-NO-LABELS.jsonl : 1366 samples for validation without the NER labels. Used for the WIESP2022 workshop.
 ├── README.MD: this file.
+<<<<<<< HEAD
+=======
+├── tag_definitions.txt: short descriptions and examples of the tags used in the task.
+>>>>>>> 297571f844c69c59b0a7d6325ad12c86b64aa523
 └── scoring-scripts/ : scripts used to evaluate submissions.
     ├── compute_MCC.py : computes the Matthews correlation coefficient between two datasets.
     └── compute_seqeval.py : computes the seqeval scores (precision, recall, f1, overall and for each class) between two datasets.

tag_definitions.txt

@@ -0,0 +1,100 @@
+Person
+  A named person or their initials
+  Example: Andrea M. Ghez, Ghez A.
+
+Organization
+  A named organization that is not an observatory.
+  Example: NASA, University of Toledo
+
+Location
+  A named location on Earth.
+  Example: Canada
+
+Entity of Future Interest
+  A general catch all for things that may be worth thinking about in the future. Often terms related to gravitational waves.
+
+Observatory
+  A, often similarly located, group of telescopes.
+  Example: Keck Observatory, Fermi
+
+Telescope
+  A "bucket" to catch light.
+  Example: Hubble Space Telescope, Discovery Channel Telescope
+  
+Mission
+  A spacecraft that is not a telescope or observatory that carries multiple instruments
+  Example: WIND
+
+Instrument
+  A device, often, but not always, placed on a telescope, to make a measurement.
+  Example: Infrared Array Camera, NIRCam
+
+Wavelength
+  A portion of the electromagnetic spectrum. Can be communicated as a particular wavelength, a name, or a particular transition.
+  Example: 656.46 nm, H-alpha
+
+Archive
+  A curated collection of the literature or data. Very similar to Database.
+  Example: NASA ADS, MAST
+
+Collaboration
+  An organizational entity containing multiple organizations, observatories, and/or countries.
+  Example: the Plank Collaboration
+
+Survey
+  An organized search of the sky often dedicated to large scale science projects.
+  Example: 2MASS, SDSS
+
+Grant
+  An allocation of money and/or time for a research project.
+  Example: grant No. 12345, ADAP grant 12345
+
+Fellowship
+  A grant focused towards students and/or early career researchers.
+  Example: Hubble Fellowship
+
+Database
+  A curated set of data. Very similar to Archive.
+  Example: Simbad database
+
+Citation
+  A reference to previous work in the literature.
+  Example: Allen et al. 2012
+
+Celestial Object
+  A named object in the sky
+  Example: ONC, Andromeda galaxy
+
+Celestial Region
+  A defined region projected onto the sky, or celestial coordinates.
+  Example: GOODS field, l=2, b=15.
+
+Celestial Object Region
+  A named area on/in a celestial body.
+  Example: Inner galaxy
+
+Event
+  A conference, workshop or other event that often brings scientests together.
+  Example: Protostars and Planets VI
+
+Formula
+  Mathematical formula or equations.
+  Example: F = Gm1m2/r^2, z=2.3
+
+URL
+  A link to a website.
+  Example: https://www.astropy.org/
+
+Identifier
+  A unique identifier for data, images, etc.
+  Example: ALMA 123.12345
+
+Tag
+  A HTML tag.
+  Example: <bold><\bold>
+
+Text Garbage
+  Incorrect text, often multiple punctuation marks with no inner text.
+  Example: ,,,
+
+