autotrain-data-syn / README.md
autotrain-data-processor
Processed data from AutoTrain data processor ([2023-04-05 01:55 ]
0975f85
---
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",
";",
"MTIwIEwgODAgaCA5Mg0KMzM1LDQ0DQozMjUsNzk1DQoyMDIzMDAzMTMwNA0KbCAxMjAgTCA4MCBo",
";",
"IDgwDQoyNDksMDY0DQoyMzYsMjExDQoyMDIzMDAzMTMwNw0KbCAxMjAgTCA4MCBoIDEzMQ0KNTA1",
";",
"LDM1NQ0KNDgwLDg3DQoyMDIzMDAzMTMwOA0KbCAxMjAgTCA4MCBoIDEzMQ0KNTA3LDgNCjQ4Niw4",
";",
"MQ0KMjAyMzAwMzEzMDkNCmwgMTIwIEwgODAgaCAxMjENCjQ0NCwwOA0KNDQyLDgNCjIwMjMwMDMx",
";",
"MzEwDQpsIDEyMCBMIDgwIGggMTE3DQo0MDMsNjENCjM3Niw5MTUNCjIwMjMwMDMxMzEyDQpsIDEy",
";",
"MCBMIDgwIGggMTA3DQozNzMsNTQNCjM1MCwwNDINCjIwMjMwMDMxMzEzDQpsIDEyMCBMIDgwIGgg",
";",
"MTAwDQozNTMsODY1DQozMzAsNTYxDQoyMDIzMDAzMTMxNA0KbCAxMjAgTCA4MCBoIDEyNw0KNDQy",
";",
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";",
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";",
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";",
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";",
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";",
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";",
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";",
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";",
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";",
"YWxpIHNhcmFubm8gdHJhdHRhdGkgaW4gY29uZm9ybWl0w6AgYWwgUmVnb2xhbWVudG8gRXVyb3Bl",
";",
"byBuLiA2NzkvMjAxNiAoYy5kLiDigJxHRFBS4oCdKSwgaW4gdmlnb3JlIGEgZGVjb3JyZXJlIGRh",
";",
"bCAyNSBtYWdnaW8gMjAxOC4gQSBxdWVzdG8gcHJvcG9zaXRvLCBsYSBpbnZpdGlhbW8gYSBwcmVu",
";",
"ZGVyZSB2aXNpb25lIGRlbGwnYXBwb3NpdGEg4oCLYXBwb3NpdGEgaW5mb3JtYXRpdmEgcHJpdmFj",
";",
"eS4g4oCLTGUgaW5mb3JtYXppb25pIGNvbnRlbnV0ZSBpbiBxdWVzdG8gZG9jdW1lbnRvIHNvbm8g",
";",
"c3RyZXR0YW1lbnRlIHJpc2VydmF0ZSBlIGFkIHVzbyBlc2NsdXNpdm8gZGVsIGRlc3RpbmF0YXJp",
";",
"by4NCllvdXIgcGVyc29uYWwgZGF0YSB3aWxsIGJlIHByb2Nlc3NlZCBpbiBjb21wbGlhbmNlIHdp",
";",
"dGggdGhlIEVVIEdlbmVyYWwgRGF0YSBQcm90ZWN0aW9uIFJlZ3VsYXRpb24gbm8uIDY3OS8yMDE2",
";",
"ICjigJxHRFBS4oCdKSwgaW4gZm9yY2Ugc2luY2UgTWF5IDI1LCAyMDE4LiDigItPbiB0aGUgdG9w",
";",
"aWMg4oCLcGxlYXNlIHNlZSBvdXIgcHJpdmFjeSBwb2xpY3kuIEFsbCBpbmZvcm1hdGlvbiBpbiB0",
";",
"aGlzIGRvY3VtZW50IGlzIGNvbmZpZGVudGlhbCBhbmQgZm9yIGV4Y2x1c2l2ZSB1c2Ugb2YgdGhl",
";",
"IGFkZHJlc3NlZSBvbmx5Lg0KDQo=",
";"
],
"tags": [
0,
5,
0,
5,
5,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
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0,
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0,
0,
0
]
},
{
"tokens": [
"R",
":",
"Quote",
"-",
"FCA",
"Italy",
"to",
"Charleston",
",",
"USA",
"port",
"QFNhbGVzIEV4cG9ydDxtYWlsdG86c2FsZXNleHBAc2luZXJneWNhcmdvLmNvbT4NCg0KRGE6IEph",
";",
"aSBKb25lcyA8ampvbmVzQHJvbWF2LmNvbT4NCkludmlhdG86IHZlbmVyZMOsIDI1IG5vdmVtYnJl",
";",
"IDIwMjIgMTc6MDQNCkE6IEFuZHJlYSBPZ25pbyA8YS5vZ25pb0BzaW5lcmd5Y2FyZ28uY29tPg0K",
";",
"Q2M6IERhdmlkZSBPbm5pcyA8ZC5vbm5pc0BzaW5lcmd5Y2FyZ28uY29tPg0KT2dnZXR0bzogUXVv",
";",
"dGUgLSBGQ0EgSXRhbHkgdG8gQ2hhcmxlc3RvbiwgVVNBIHBvcnQNCg0KSGkgQW5kZWENCg0KUGxl",
";",
"YXNlIHF1b3RlIExDTCByYXRlIGJhc2VkIG9uIHRoZSBiZWxvdyBpbmZvcm1hdGlvbiB0byBDaGFy",
";",
"bGVzdG9uIFNDLCBDRlMNCg0KLSBGQ0EgLSBFeHBvcnQgZG9jcyB3aWxsIGJlIGRvbmUgYnkgdGhl",
";",
"IHN1cHBsaWVyDQoNCi0gR29vZHM6IE5hdHVyYWwgY2FmZmVpbmUgZ3JhbnVsYXINCi0gNyBwYWxs",
";",
"ZXRzIDgweDEyMHgxNDUNCi0gR3Jvc3Mgd2VpZ2h0IDIuNDUwIEtnDQoNCi0gUGlja3VwIGxvY2F0",
";",
"aW9uOg0KQ09GRkVJTiBDT01QQUdOSUUgSVRBTFkgUy5yLmwuIGEgU29jaW8gVW5pY28NCk9mZmlj",
";",
"ZXMvUHJvZHVjdGlvbjogUmVnLiBBYmlzc2luaWEsIExvYy4gTGFnbyBBenp1cnJvLCAxNzAzMSBB",
";",
"bGJlbmdhIChTVikg4oCTIEl0YWx5DQoNClBsZWFzZSBhZHZpc2UgY2FycmllciBhbmQgdHJhbnNp",
";",
"dCB0aW1lIGV0Yw0KDQpUaGFua3MvUmVnYXJkcw0KDQpKYWkgSm9uZXMNClJvbWF2IFNoaXBwaW5n",
";",
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";",
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";",
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";",
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";",
"dGVkIHdpdGggaXQgYXJlIGZvciB0aGUgbmFtZWQgcmVjaXBpZW50IG9ubHkuIFRoaXMgaW5mb3Jt",
";",
"YXRpb24gaXMgY29uZmlkZW50aWFsIGFuZCBtYXkgYmUgbGVnYWxseSBwcml2aWxlZ2VkLiBJZiB5",
";",
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";",
"cmluZyB0aGUgbWVzc2FnZSB0byB0aGUgbmFtZWQgcmVjaXBpZW50LCB5b3UgbXVzdCBub3QgZGlz",
";",
"Y2xvc2UsIGRpc3RyaWJ1dGUsIGZvcndhcmQsIGNvcHksIHN0b3JlIG9yIHVzZSB0aGlzIGVtYWls",
";",
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";",
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";",
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";",
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";",
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";",
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";",
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";",
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";",
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";",
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";",
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";",
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";",
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";"
],
"tags": [
0,
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0,
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0,
5,
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6,
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]
}
]
```
### Dataset 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 |