patriziobellan commited on
Commit
5aa7ec4
1 Parent(s): f4d940a

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +33 -3
README.md CHANGED
@@ -12,14 +12,44 @@ multilinguality:
12
  pretty_name: PET
13
  size_categories:
14
  - 1K<n<10K
15
- source_datasets:
16
- [Friedrich et al. original dataset]
17
  task_categories:
18
  - token-classification
19
  task_ids:
20
  - token classification
21
  - named entity recognition
22
  - relation extraction
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
23
  ---
24
 
25
  # PET: A NEW DATASET FOR PROCESS EXTRACTION FROM TEXT
@@ -324,4 +354,4 @@ modelhub_dataset = load_dataset("patriziobellan/PET", name='token-classification
324
  ### Relations-extraction task
325
  ```python
326
  from datasets import load_dataset
327
- modelhub_dataset = load_dataset("patriziobellan/PET", name='relations-extraction')
 
12
  pretty_name: PET
13
  size_categories:
14
  - 1K<n<10K
15
+ source_datasets:
16
+ - Friedrich et al. original dataset
17
  task_categories:
18
  - token-classification
19
  task_ids:
20
  - token classification
21
  - named entity recognition
22
  - relation extraction
23
+ dataset_info:
24
+ features:
25
+ - name: document name
26
+ dtype: string
27
+ - name: tokens
28
+ sequence: string
29
+ - name: tokens-IDs
30
+ sequence: int8
31
+ - name: ner_tags
32
+ sequence: string
33
+ - name: sentence-IDs
34
+ sequence: int8
35
+ - name: relations
36
+ sequence:
37
+ - name: source-head-sentence-ID
38
+ dtype: int8
39
+ - name: source-head-word-ID
40
+ dtype: int8
41
+ - name: relation-type
42
+ dtype: string
43
+ - name: target-head-sentence-ID
44
+ dtype: int8
45
+ - name: target-head-word-ID
46
+ dtype: int8
47
+ splits:
48
+ - name: test
49
+ num_bytes: 203379
50
+ num_examples: 45
51
+ download_size: 38326
52
+ dataset_size: 203379
53
  ---
54
 
55
  # PET: A NEW DATASET FOR PROCESS EXTRACTION FROM TEXT
 
354
  ### Relations-extraction task
355
  ```python
356
  from datasets import load_dataset
357
+ modelhub_dataset = load_dataset("patriziobellan/PET", name='relations-extraction')