mtyrrell
/

CPU_Netzero_Classifier

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

Metrics Training metrics Community

mtyrrell commited on Jul 23, 2023

Commit

c1d416a

·

1 Parent(s): 08fa197

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -55,7 +55,7 @@ The pre-processing operations used to produce the final training dataset were as
 1. Dataset is filtered based on 'medium' value in 'strategy' column (sequence length = 85).
 2. For ClimateWatch, all rows are removed as there was assessed to be no taxonomical alignment with the IKITracs labels inherent to the dataset. For IKITracs, labels are assigned based on the presence of certain substrings based on 'parameter' values which correspond to assessments of Net-Zero targets by human annotaters. The specific assignments are as follows:
-* 'NET-ZERO': target_labels = ['T_Netzero','T_Netzero_C']
 * 'NEGATIVE': target_labels_neg = ['T_Economy_C','T_Economy_Unc','T_Adaptation_C','T_Adaptation_Unc','T_Transport_C','T_Transport_O_C','T_Transport_O_Unc','T_Transport_Unc']
 * 'TARGET_FREE': random sample of other (non-target) labeled data
 3. If 'context_translated' is available and the 'language' is not English, 'context' is replaced with 'context_translated'.

 1. Dataset is filtered based on 'medium' value in 'strategy' column (sequence length = 85).
 2. For ClimateWatch, all rows are removed as there was assessed to be no taxonomical alignment with the IKITracs labels inherent to the dataset. For IKITracs, labels are assigned based on the presence of certain substrings based on 'parameter' values which correspond to assessments of Net-Zero targets by human annotaters. The specific assignments are as follows:
+&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;* 'NET-ZERO': target_labels = ['T_Netzero','T_Netzero_C']
 * 'NEGATIVE': target_labels_neg = ['T_Economy_C','T_Economy_Unc','T_Adaptation_C','T_Adaptation_Unc','T_Transport_C','T_Transport_O_C','T_Transport_O_Unc','T_Transport_Unc']
 * 'TARGET_FREE': random sample of other (non-target) labeled data
 3. If 'context_translated' is available and the 'language' is not English, 'context' is replaced with 'context_translated'.