shreyas-singh/autotrain-MedicalTokenClassification-1279048948
Token Classification
•
Updated
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14
Error code: UnexpectedError
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_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _indexes
dict | _output_all_columns
bool | _split
null |
---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] | 0274bbd00f190d03 | [
"feat_chunk_tags",
"feat_id",
"feat_pos_tags",
"tags",
"tokens"
] | {} | null | {} | false | null |
This dataset has been automatically processed by AutoTrain for project MedicalTokenClassification.
The BCP-47 code for the dataset's language is unk.
A sample from this dataset looks as follows:
[
{
"feat_id": "13104",
"tokens": [
"Jackie",
"Frank"
],
"feat_pos_tags": [
21,
21
],
"feat_chunk_tags": [
5,
16
],
"tags": [
3,
7
]
},
{
"feat_id": "9297",
"tokens": [
"U.S.",
"lauds",
"Russian-Chechen",
"deal",
"."
],
"feat_pos_tags": [
21,
20,
15,
20,
7
],
"feat_chunk_tags": [
5,
16,
16,
16,
22
],
"tags": [
0,
8,
1,
8,
8
]
}
]
The dataset has the following fields (also called "features"):
{
"feat_id": "Value(dtype='string', id=None)",
"tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)",
"feat_pos_tags": "Sequence(feature=ClassLabel(num_classes=47, names=['\"', '#', '$', \"''\", '(', ')', ',', '.', ':', 'CC', 'CD', 'DT', 'EX', 'FW', 'IN', 'JJ', 'JJR', 'JJS', 'LS', 'MD', 'NN', 'NNP', 'NNPS', 'NNS', 'NN|SYM', 'PDT', 'POS', 'PRP', 'PRP$', 'RB', 'RBR', 'RBS', 'RP', 'SYM', 'TO', 'UH', 'VB', 'VBD', 'VBG', 'VBN', 'VBP', 'VBZ', 'WDT', 'WP', 'WP$', 'WRB', '``'], id=None), length=-1, id=None)",
"feat_chunk_tags": "Sequence(feature=ClassLabel(num_classes=23, names=['B-ADJP', 'B-ADVP', 'B-CONJP', 'B-INTJ', 'B-LST', 'B-NP', 'B-PP', 'B-PRT', 'B-SBAR', 'B-UCP', 'B-VP', 'I-ADJP', 'I-ADVP', 'I-CONJP', 'I-INTJ', 'I-LST', 'I-NP', 'I-PP', 'I-PRT', 'I-SBAR', 'I-UCP', 'I-VP', 'O'], id=None), length=-1, id=None)",
"tags": "Sequence(feature=ClassLabel(num_classes=9, names=['B-LOC', 'B-MISC', 'B-ORG', 'B-PER', 'I-LOC', 'I-MISC', 'I-ORG', 'I-PER', 'O'], id=None), length=-1, id=None)"
}
This dataset is split into a train and validation split. The split sizes are as follow:
Split name | Num samples |
---|---|
train | 10014 |
valid | 4028 |