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README.md
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## Instructions for Workshop Participants:
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How to load the data using the Huggingface library:
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from datasets import load_dataset
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dataset = load_dataset("adsabs/FOCAL") #
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How to load the data if you cloned the repository locally:
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(assuming `./FOCAL-TRAINING.jsonl` is in the current directory, change as needed)
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## File List
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```
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├── FOCAL-TRAINING.jsonl (2421 samples for training)
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├── FOCAL-VALIDATION-NO-LABELS.jsonl (606 samples for validation without the labels. Used during the shared task [WIESP-2023](https://ui.adsabs.harvard.edu/WIESP/2023/)
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├──
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├── README.MD (this file)
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└──
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```
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## Instructions for Workshop Participants:
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How to load the data using the Huggingface library:
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```python
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from datasets import load_dataset
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dataset = load_dataset("adsabs/FOCAL") # !!! Only loads the training split. Validation and testing splits will be added after the shared task of [WIESP-2023](https://ui.adsabs.harvard.edu/WIESP/2023/) has ended.
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```
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How to load the data if you cloned the repository locally:
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(assuming `./FOCAL-TRAINING.jsonl` is in the current directory, change as needed)
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## File List
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```
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├── FOCAL-TRAINING.jsonl (2421 samples for training)
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├── FOCAL-VALIDATION-NO-LABELS.jsonl (606 samples for validation without the labels. Used during the shared task of [WIESP-2023](https://ui.adsabs.harvard.edu/WIESP/2023/)
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├── FOCAL-TESTING-NO-LABELS.jsonl (832 samples for testing without the labels. Used during the shared task of [WIESP-2023](https://ui.adsabs.harvard.edu/WIESP/2023/)
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├── /scoring_scripts/score_focal_seqeval.py (scoring scripts used during the shared task of [WIESP-2023](https://ui.adsabs.harvard.edu/WIESP/2023/)
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├── /scoring_scripts/score_focal_labels_only.py (scoring scripts used during the shared task of [WIESP-2023](https://ui.adsabs.harvard.edu/WIESP/2023/)
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├── /data/train.parquet (train split of FOCAL)
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├── README.MD (this file)
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└──
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```
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