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yangheng commited on
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1 Parent(s): d1f6ff4

update

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Files changed (12) hide show
  1. app.py +0 -7
  2. checkpoints-v2.0.json +1 -89
  3. checkpoints/RNA/RNAC/{lstm_degrad_acc_85.26_f1_84.62.zip → lstm_degrad_acc_83.4_f1_83.21.zip} +2 -2
  4. checkpoints/RNA/RNAC/{bert_mlp_degrad_acc_87.44_f1_86.99.zip → lstm_degrad_acc_83.83_f1_83.69.zip} +2 -2
  5. checkpoints/RNA/RNAC/lstm_degrad_acc_84.07_f1_83.92.zip +3 -0
  6. checkpoints/RNA/RNAC/lstm_degrad_acc_84.15_f1_84.02.zip +3 -0
  7. checkpoints/RNA/RNAC/lstm_degrad_acc_84.16_f1_84.03.zip +3 -0
  8. checkpoints/RNA/RNAC/lstm_degrad_acc_84.49_f1_84.37.zip +3 -0
  9. checkpoints/RNA/RNAC/lstm_degrad_acc_84.61_f1_84.46.zip +3 -0
  10. checkpoints/RNA/RNAC/lstm_degrad_acc_84.64_f1_84.54.zip +3 -0
  11. checkpoints/RNA/RNAC/lstm_degrad_acc_84.98_f1_84.89.zip +3 -0
  12. emergency_notification.txt +0 -4
app.py CHANGED
@@ -11,9 +11,6 @@ download_all_available_datasets()
11
 
12
  dataset_items = {dataset.name: dataset for dataset in ATEPC.ATEPCDatasetList()}
13
 
14
- URL = 'https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2Fyangheng%2Fpyabsa_inference&label=Inference%20Count&labelColor=%2337d67a&countColor=%23f47373&style=flat&labelStyle=none'
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-
16
-
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  def get_example(dataset):
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  task = TaskCodeOption.Aspect_Polarity_Classification
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  dataset_file = detect_infer_dataset(dataset_items[dataset], task)
@@ -51,7 +48,6 @@ def perform_inference(text, dataset):
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  'confidence': [round(x, 4) for x in result['confidence']],
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  'position': result['position']
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  })
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- requests.get(URL)
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  return result, '{}'.format(text)
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@@ -86,7 +82,4 @@ with demo:
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  inputs=[input_sentence, dataset_ids],
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  outputs=[output_df, output_text])
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- gr.Markdown("![visitor badge](https://visitor-badge.glitch.me/badge?page_id=https://huggingface.co/spaces/yangheng/Multilingual-Aspect-Based-Sentiment-Analysis)")
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- gr.Markdown("![Visitors]({})".format(URL))
91
-
92
  demo.launch(share=True)
 
11
 
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  dataset_items = {dataset.name: dataset for dataset in ATEPC.ATEPCDatasetList()}
13
 
 
 
 
14
  def get_example(dataset):
15
  task = TaskCodeOption.Aspect_Polarity_Classification
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  dataset_file = detect_infer_dataset(dataset_items[dataset], task)
 
48
  'confidence': [round(x, 4) for x in result['confidence']],
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  'position': result['position']
50
  })
 
51
  return result, '{}'.format(text)
52
 
53
 
 
82
  inputs=[input_sentence, dataset_ids],
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  outputs=[output_df, output_text])
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  demo.launch(share=True)
checkpoints-v2.0.json CHANGED
@@ -1,89 +1 @@
1
- {
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- "2.0.0.dev0+": {
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- "APC": {
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- "multilingual": {
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- "id": "",
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- "Training Model": "FAST-LSA-T-V2-Deberta",
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- "Training Dataset": "APCDatasetList.Multilingual",
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- "Language": "Multilingual",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.10.5+",
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- "Checkpoint File": "fast_lcf_bert_Multilingual_acc_82.66_f1_82.06.zip",
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- "Author": "H, Yang (hy345@exeter.ac.uk)"
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- },
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- "english": {
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- "id": "",
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- "Training Model": "FAST-LSA-T-V2-Deberta",
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- "Training Dataset": "APCDatasetList.English",
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- "Language": "English",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.10.5+",
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- "Checkpoint File": "fast_lsa_t_v2_English_acc_82.21_f1_81.81.zip",
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- "Author": "H, Yang (hy345@exeter.ac.uk)"
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- },
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- "chinese": {
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- "id": "",
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- "Training Model": "FAST-LSA-T-V2-Deberta",
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- "Training Dataset": "APCDatasetList.Chinese",
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- "Language": "Chinese",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.10.5+",
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- "Checkpoint File": "fast_lsa_t_v2_Chinese_acc_96.0_f1_95.1.zip",
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- "Author": "H, Yang (hy345@exeter.ac.uk)"
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- }
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- },
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- "ATEPC": {
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- "multilingual": {
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- "id": "",
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- "Training Model": "FAST-LCF-ATEPC",
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- "Training Dataset": "ABSADatasets.Multilingual",
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- "Language": "Multilingual",
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- "Description": "Trained on RTX3090",
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- "Available Version": "1.16.0+",
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- "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_78.08_apcf1_77.81_atef1_75.41.zip",
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- "Author": "H, Yang (hy345@exeter.ac.uk)"
45
- },
46
- "english": {
47
- "id": "",
48
- "Training Model": "FAST-LCF-ATEPC",
49
- "Training Dataset": "ATEPCDatasetList.English",
50
- "Language": "English",
51
- "Description": "Trained on RTX3090",
52
- "Available Version": "1.10.5+",
53
- "Checkpoint File": "fast_lcf_atepc_English_cdw_apcacc_82.36_apcf1_81.89_atef1_75.43.zip",
54
- "Author": "H, Yang (hy345@exeter.ac.uk)"
55
- },
56
- "chinese": {
57
- "id": "",
58
- "Training Model": "FAST-LCF-ATEPC",
59
- "Training Dataset": "ATEPCDatasetList.Chinese",
60
- "Language": "Chinese",
61
- "Description": "Trained on RTX3090",
62
- "Available Version": "1.10.5+",
63
- "Checkpoint File": "fast_lcf_atepc_Chinese_cdw_apcacc_96.22_apcf1_95.32_atef1_78.73.zip",
64
- "Author": "H, Yang (hy345@exeter.ac.uk)"
65
- }
66
- },
67
- "RNAC": {
68
- "degrad_lstm": {
69
- "id": "",
70
- "Training Model": "LSTM",
71
- "Training Dataset": "ABSADatasets.Multilingual",
72
- "Language": "RNA",
73
- "Description": "Trained on RTX3090",
74
- "Available Version": "1.16.0+",
75
- "Checkpoint File": "lstm_degrad_acc_85.26_f1_84.62.zip",
76
- "Author": "H, Yang (hy345@exeter.ac.uk)"
77
- },
78
- "degrad_bert": {
79
- "id": "",
80
- "Training Model": "MLP",
81
- "Training Dataset": "Degrad",
82
- "Language": "RNA",
83
- "Description": "Trained on RTX3090",
84
- "Available Version": "1.16.0+",
85
- "Checkpoint File": "bert_mlp_degrad_acc_87.44_f1_86.99.zip",
86
- "Author": "H, Yang (hy345@exeter.ac.uk)"}
87
- }
88
- }
89
- }
 
1
+ {"2.0.0.dev0+": {"APC": {"multilingual": {"id": "", "Training Model": "FAST-LSA-T-V2-Deberta", "Training Dataset": "APCDatasetList.Multilingual", "Language": "Multilingual", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_bert_Multilingual_acc_82.66_f1_82.06.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "english": {"id": "", "Training Model": "FAST-LSA-T-V2-Deberta", "Training Dataset": "APCDatasetList.English", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lsa_t_v2_English_acc_82.21_f1_81.81.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "chinese": {"id": "", "Training Model": "FAST-LSA-T-V2-Deberta", "Training Dataset": "APCDatasetList.Chinese", "Language": "Chinese", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lsa_t_v2_Chinese_acc_96.0_f1_95.1.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}}, "ATEPC": {"multilingual": {"id": "", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ABSADatasets.Multilingual", "Language": "Multilingual", "Description": "Trained on RTX3090", "Available Version": "1.16.0+", "Checkpoint File": "fast_lcf_atepc_Multilingual_cdw_apcacc_78.08_apcf1_77.81_atef1_75.41.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "english": {"id": "", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ATEPCDatasetList.English", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_atepc_English_cdw_apcacc_82.36_apcf1_81.89_atef1_75.43.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "chinese": {"id": "", "Training Model": "FAST-LCF-ATEPC", "Training Dataset": "ATEPCDatasetList.Chinese", "Language": "Chinese", "Description": "Trained on RTX3090", "Available Version": "1.10.5+", "Checkpoint File": "fast_lcf_atepc_Chinese_cdw_apcacc_96.22_apcf1_95.32_atef1_78.73.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}}, "RNAC": {"degrad_lstm": {"id": "", "Training Model": "LSTM", "Training Dataset": "ABSADatasets.Multilingual", "Language": "RNA", "Description": "Trained on RTX3090", "Available Version": "1.16.0+", "Checkpoint File": "lstm_degrad_acc_85.26_f1_84.62.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "degrad_bert": {"id": "", "Training Model": "MLP", "Training Dataset": "Degrad", "Language": "RNA", "Description": "Trained on RTX3090", "Available Version": "1.16.0+", "Checkpoint File": "bert_mlp_degrad_acc_87.44_f1_86.99.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}}}}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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emergency_notification.txt DELETED
@@ -1,4 +0,0 @@
1
- PyABSA v2.x has been refactored; its APIs are now organized by NLP subtasks.
2
- Due to many breaking changes, it is not compatible with 1.x versions.
3
- If you need to use pretrained checkpoints, you can downgrade to 1.x versions.
4
- Please feel free to provide your advice to improve PyABSA