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Datasets:
sxandie
/
autotrain-data-syn

Tasks:
Token Classification
Languages:
Italian
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Processed data from AutoTrain data processor ([2023-04-05 01:55 ]

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Files changed (8) hide show
  1. README.md +399 -0
  2. processed/dataset_dict.json +1 -0
  3. processed/train/data-00000-of-00001.arrow +3 -0
  4. processed/train/dataset_info.json +49 -0
  5. processed/train/state.json +16 -0
  6. processed/valid/data-00000-of-00001.arrow +3 -0
  7. processed/valid/dataset_info.json +49 -0
  8. processed/valid/state.json +16 -0
README.md ADDED
@@ -0,0 +1,399 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language:
3
+ - it
4
+ task_categories:
5
+ - token-classification
6
+
7
+ ---
8
+ # AutoTrain Dataset for project: syn
9
+
10
+ ## Dataset Description
11
+
12
+ This dataset has been automatically processed by AutoTrain for project syn.
13
+
14
+ ### Languages
15
+
16
+ The BCP-47 code for the dataset's language is it.
17
+
18
+ ## Dataset Structure
19
+
20
+ ### Data Instances
21
+
22
+ A sample from this dataset looks as follows:
23
+
24
+ ```json
25
+ [
26
+ {
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+ "tokens": [
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+ "EXPORT",
29
+ "CAUCEDO",
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+ "o",
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+ "RIO",
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+ "HAINA",
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+ "Q2lhbywgYnVvbmdpb3JubyDwn5iKDQoNCk5zIGNsaWVudGUgVklQDQoNCkRFU1RJTkFaSU9ORSBD",
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+ ";",
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+ ";",
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+ "DQpSaXRpcm8gYy9vIEZPTlRFVklWTyAoUFIpDQoNCk1FUkNFIElNTyBjb21lIGRhIGRvY3MgYWxs",
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+ ";",
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+ "ZWdhdGkNCg0KODAzMTEzOTANCkRHUiArIE5ER1INCg0KDQpOUiBCT1gNCkRJTS4NCkdST1NTDQpO",
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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": [
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+ },
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+ {
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+ "tokens": [
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+ "R",
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+ ":",
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+ "Quote",
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+ "-",
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+ "FCA",
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+ "Italy",
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+ "to",
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+ "Charleston",
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+ ",",
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+ "USA",
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+ "port",
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+ "QFNhbGVzIEV4cG9ydDxtYWlsdG86c2FsZXNleHBAc2luZXJneWNhcmdvLmNvbT4NCg0KRGE6IEph",
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+ }
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+ ]
379
+ ```
380
+
381
+ ### Dataset Fields
382
+
383
+ The dataset has the following fields (also called "features"):
384
+
385
+ ```json
386
+ {
387
+ "tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
388
+ "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)"
389
+ }
390
+ ```
391
+
392
+ ### Dataset Splits
393
+
394
+ This dataset is split into a train and validation split. The split sizes are as follow:
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+ | ------------ | ------------------- |
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