Spaces:
Running
Running
update
Browse files- .gitignore +1 -0
- checkpoints-v2.0.json +1 -178
- compress_datasets.py +3 -2
- emergency_notification.txt +4 -1
- requirements.txt +1 -1
.gitignore
CHANGED
@@ -31,6 +31,7 @@ CPDP/
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glove.840B.300d.txt
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glove.42B.300d.txt
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glove.twitter.27B.txt
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# project main files
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release_note.json
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glove.840B.300d.txt
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glove.42B.300d.txt
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glove.twitter.27B.txt
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+
*CHECKPOINT/
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# project main files
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release_note.json
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checkpoints-v2.0.json
CHANGED
@@ -1,178 +1 @@
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{
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"2.0.0": {
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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_87.18_f1_83.11.zip",
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"Author": "H, Yang (hy345@exeter.ac.uk)"
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-
},
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"multilingual2": {
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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_80.81_apcf1_73.75_atef1_76.01.zip",
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"Author": "H, Yang (hy345@exeter.ac.uk)"
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},
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"multilingual2": {
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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)"
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},
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"english": {
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"id": "",
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"Training Model": "FAST-LCF-ATEPC",
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"Training Dataset": "ATEPCDatasetList.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_lcf_atepc_English_cdw_apcacc_82.36_apcf1_81.89_atef1_75.43.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-LCF-ATEPC",
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"Training Dataset": "ATEPCDatasetList.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_lcf_atepc_Chinese_cdw_apcacc_96.22_apcf1_95.32_atef1_78.73.zip",
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"Author": "H, Yang (hy345@exeter.ac.uk)"
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}
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},
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"RNAC": {
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"degrad_lstm": {
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"id": "",
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"Training Model": "LSTM",
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"Training Dataset": "ABSADatasets.Multilingual",
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"Language": "RNA",
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"Description": "Trained on RTX3090",
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"Available Version": "1.16.0+",
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"Checkpoint File": "lstm_degrad_acc_85.26_f1_84.62.zip",
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"Author": "H, Yang (hy345@exeter.ac.uk)"
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},
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"degrad_bert": {
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"id": "",
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"Training Model": "MLP",
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"Training Dataset": "Degrad",
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"Language": "RNA",
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"Description": "Trained on RTX3090",
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"Available Version": "1.16.0+",
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"Checkpoint File": "bert_mlp_degrad_acc_87.44_f1_86.99.zip",
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"Author": "H, Yang (hy345@exeter.ac.uk)"
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}
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},
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"TAD": {
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"tad-sst2": {
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"id": "",
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"Training Model": "TAD",
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"Training Dataset": "SST2",
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"Language": "English",
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"Description": "Trained on RTX3090",
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"Available Version": "1.15+",
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"Checkpoint File": "TAD-SST2.zip",
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"Author": "H, Yang (yangheng@m.scnu.edu.cn)"
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},
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"tad-agnews10k": {
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"id": "",
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"Training Model": "TAD",
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"Training Dataset": "AGNews",
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"Language": "English",
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"Description": "Trained on RTX3090",
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"Available Version": "1.15+",
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"Checkpoint File": "TAD-AGNews10K.zip",
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"Author": "H, Yang (yangheng@m.scnu.edu.cn)"
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},
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"tad-amazon": {
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"id": "",
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"Training Model": "TAD",
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"Training Dataset": "AGNews",
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"Language": "English",
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"Description": "Trained on RTX3090",
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"Available Version": "1.15+",
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"Checkpoint File": "TAD-Amazon.zip",
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"Author": "H, Yang (yangheng@m.scnu.edu.cn)"
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}
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},
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"CDD": {
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"promise": {
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"id": "",
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"Training Model": "CodeT5-small",
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"Training Dataset": "Promise",
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"Language": "Code",
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"Description": "Trained on RTX3090",
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"Available Version": "1.16.0+",
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"Checkpoint File": "bert_mlp_all_cpdp_acc_75.33_f1_73.52.zip",
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"Author": "H, Yang (hy345@exeter.ac.uk)"
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}
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},
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"ASTE": {
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"english": {
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"id": "",
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"Training Model": "DeBERTa-v3-Base",
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"Training Dataset": "SemEval",
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"Language": "English",
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"Description": "Trained on RTX3090",
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"Available Version": "1.16.0+",
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"Checkpoint File": "EMCGCN_SemEval_f1_74.01.zip",
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"Author": "H, Yang (hy345@exeter.ac.uk)"
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}
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},
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"UPPERTASKCODE": {
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"promise": {
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"id": "",
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"Training Model": "CodeT5-small",
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"Training Dataset": "DatasetName",
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"Language": "",
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"Description": "Trained on RTX3090",
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"Available Version": "1.16.0+",
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"Checkpoint File": "lstm_degrad_acc_85.26_f1_84.62.zip",
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"Author": "H, Yang (hy345@exeter.ac.uk)"
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}
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}
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}
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}
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{"2.0.0": {"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_87.18_f1_83.11.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "multilingual2": {"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_80.81_apcf1_73.75_atef1_76.01.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}, "multilingual2": {"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)"}}, "TAD": {"tad-sst2": {"id": "", "Training Model": "TAD", "Training Dataset": "SST2", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-SST2.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tad-agnews10k": {"id": "", "Training Model": "TAD", "Training Dataset": "AGNews", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-AGNews10K.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}, "tad-amazon": {"id": "", "Training Model": "TAD", "Training Dataset": "AGNews", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.15+", "Checkpoint File": "TAD-Amazon.zip", "Author": "H, Yang (yangheng@m.scnu.edu.cn)"}}, "CDD": {"promise": {"id": "", "Training Model": "CodeT5-small", "Training Dataset": "Promise", "Language": "Code", "Description": "Trained on RTX3090", "Available Version": "1.16.0+", "Checkpoint File": "bert_mlp_all_cpdp_acc_75.33_f1_73.52.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}}, "ASTE": {"english": {"id": "", "Training Model": "DeBERTa-v3-Base", "Training Dataset": "SemEval", "Language": "English", "Description": "Trained on RTX3090", "Available Version": "1.16.0+", "Checkpoint File": "EMCGCN_SemEval_f1_74.01.zip", "Author": "H, Yang (hy345@exeter.ac.uk)"}}, "UPPERTASKCODE": {"promise": {"id": "", "Training Model": "CodeT5-small", "Training Dataset": "DatasetName", "Language": "", "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)"}}}}
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compress_datasets.py
CHANGED
@@ -40,11 +40,12 @@ def cascade_zip_datasets():
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fprint(f"compressing dataset: {d}")
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dataset_name = Path(d).name
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zip_file = zipfile.ZipFile(
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f"integrated_datasets/{task_name}.{dataset_name}.zip".lower(),
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)
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for root, dirs, files in os.walk(d):
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for file in files:
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zip_file.write(os.path.join(root, file).lower())
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fprint(f"compressing dataset: {d}")
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dataset_name = Path(d).name
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zip_file = zipfile.ZipFile(
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f"integrated_datasets/{task_name}.{dataset_name}.zip".lower(),
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+
"w",
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zipfile.ZIP_DEFLATED,
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)
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for root, dirs, files in os.walk(d):
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for file in files:
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zip_file.write(os.path.join(root, file).lower())
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emergency_notification.txt
CHANGED
@@ -1,2 +1,5 @@
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If you find any problems, please report them on GitHub. Thanks!
|
2 |
-
The v2.x versions are not compatible with Google Colab. Please downgrade to 1.16.27.
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+
|
2 |
+
[New Feature] Aspect Sentiment Triplet Extraction in v2.1.0 test version
|
3 |
+
|
4 |
If you find any problems, please report them on GitHub. Thanks!
|
5 |
+
The v2.x versions are not compatible with Google Colab. Please downgrade to 1.16.27.
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requirements.txt
CHANGED
@@ -1 +1 @@
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-
pyabsa>=2.
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+
pyabsa>=2.1.0
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