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expertai
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BUSTER

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Token Classification
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finance
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leonardorigutini azugarini commited on
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Upload dataset_infos.json (#16)

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- Upload dataset_infos.json (ef67aba07d734d643e68bb74b336f7d88c8a8e8c)


Co-authored-by: Andrea Zugarini <azugarini@users.noreply.huggingface.co>

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  1. dataset_infos.json +109 -1
dataset_infos.json CHANGED
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- {"description": "\nBuster is an Entity Recognition dataset consisting of 3779 manually annotated documents on financial transactions.\nDocuments were selected using EDGAR (Electronic Data Gathering, Analysis, and Retrieval system) from the \nU.S. Securities and Exchange Commission (SEC). \nThe corpus focuses on the main actors involved in business transactions. \nOverall, there are three families of entities: Parties, Advisors and Generic information, for a total of 6 annotated\nentity types.\nWe also released a corpus of 6196 automatically annotated documents. \n", "citation": "\nAccepted at EMNLP 2023 - Industry Track.\nTBA\n", "homepage": "https://expert.ai/buster", "license": "", "features": {"document_id": {"dtype": "string", "id": null, "_type": "Value"}, "tokens": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "labels": {"feature": {"num_classes": 13, "names": ["O", "B-Parties.BUYING_COMPANY", "I-Parties.BUYING_COMPANY", "B-Parties.SELLING_COMPANY", "I-Parties.SELLING_COMPANY", "B-Parties.ACQUIRED_COMPANY", "I-Parties.ACQUIRED_COMPANY", "B-Advisors.LEGAL_CONSULTING_COMPANY", "I-Advisors.LEGAL_CONSULTING_COMPANY", "B-Advisors.GENERIC_CONSULTING_COMPANY", "I-Advisors.GENERIC_CONSULTING_COMPANY", "B-Generic_Info.ANNUAL_REVENUES", "I-Generic_Info.ANNUAL_REVENUES"], "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "buster", "config_name": "BUSTER", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"FOLD_1": {"name": "FOLD_1", "num_bytes": 11508541, "num_examples": 753, "dataset_name": "buster"}, "FOLD_2": {"name": "FOLD_2", "num_bytes": 11409488, "num_examples": 759, "dataset_name": "buster"}, "FOLD_3": {"name": "FOLD_3", "num_bytes": 11524994, "num_examples": 758, "dataset_name": "buster"}, "FOLD_4": {"name": "FOLD_4", "num_bytes": 11714536, "num_examples": 755, "dataset_name": "buster"}, "FOLD_5": {"name": "FOLD_5", "num_bytes": 11543314, "num_examples": 754, "dataset_name": "buster"}, "SILVER": {"name": "SILVER", "num_bytes": 94702584, "num_examples": 6196, "dataset_name": "buster"}}, "download_checksums": {"BUSTER.zip": {"num_bytes": 20824877, "checksum": "66082251c87758687c334965fdd3a8f2b3f1e933755c6fdc16e71a522570943f"}}, "download_size": 20824877, "post_processing_size": null, "dataset_size": 152403457, "size_in_bytes": 173228334}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "BUSTER": {"description": "\nBuster is an Entity Recognition dataset consisting of 3779 manually annotated documents on financial transactions.\nDocuments were selected using EDGAR (Electronic Data Gathering, Analysis, and Retrieval system) from the \nU.S. Securities and Exchange Commission (SEC). \nThe corpus focuses on the main actors involved in business transactions. \nOverall, there are three families of entities: Parties, Advisors and Generic information, for a total of 6 annotated\nentity types.\nWe also released a corpus of 6196 automatically annotated documents. \n",
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+ "citation": "\nAccepted at EMNLP 2023 - Industry Track.\nTBA\n",
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+ "homepage": "https://expert.ai/buster",
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+ "O",
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+ "B-Parties.BUYING_COMPANY",
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+ "I-Parties.BUYING_COMPANY",
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+ "B-Parties.SELLING_COMPANY",
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+ "I-Parties.SELLING_COMPANY",
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+ "B-Parties.ACQUIRED_COMPANY",
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+ "I-Parties.ACQUIRED_COMPANY",
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+ "B-Generic_Info.ANNUAL_REVENUES",
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