--- language: - it task_categories: - token-classification --- # AutoTrain Dataset for project: syn ## Dataset Description This dataset has been automatically processed by AutoTrain for project syn. ### Languages The BCP-47 code for the dataset's language is it. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "tokens": [ "EXPORT", "CAUCEDO", "o", "RIO", "HAINA", "Q2lhbywgYnVvbmdpb3JubyDwn5iKDQoNCk5zIGNsaWVudGUgVklQDQoNCkRFU1RJTkFaSU9ORSBD", ";", "RlMgQ0FVQ0VETyBvcHB1cmUgUklPIEhBSU5BDQoNCkJBTkNBTEkgTk9OIFNPVlJBUFBPTklCSUxJ", ";", "DQpSaXRpcm8gYy9vIEZPTlRFVklWTyAoUFIpDQoNCk1FUkNFIElNTyBjb21lIGRhIGRvY3MgYWxs", ";", "ZWdhdGkNCg0KODAzMTEzOTANCkRHUiArIE5ER1INCg0KDQpOUiBCT1gNCkRJTS4NCkdST1NTDQpO", ";", "RVQNCjIwMjMwMDMxMjk4DQpsIDEyMCBMIDgwIGggNzQNCjI5Myw2NzMNCjI3Nyw2MTQNCjIwMjMw", ";", "MDMxMzAyDQpsIDEyMCBMIDgwIGggMTEwDQozOTksOTg1DQozOTUsMg0KMjAyMzAwMzEzMDMNCmwg", ";", 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Fields The dataset has the following fields (also called "features"): ```json { "tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)", "tags": "Sequence(feature=ClassLabel(names=['O', 'commodity', 'company', 'delivery_cap', 'delivery_location', 'delivery_port', 'delivery_state', 'incoterms', 'measures', 'package_type', 'pickup_cap', 'pickup_location', 'pickup_port', 'pickup_state', 'quantity', 'stackable', 'volume', 'weight'], id=None), length=-1, id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 303 | | valid | 155 |