Datasets:

Languages:
Portuguese
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
ArXiv:
Tags:
License:
joelniklaus commited on
Commit
31ca8e7
1 Parent(s): 7f3d668

removed different configuration because of missing native huggingface support

Browse files
.gitattributes CHANGED
@@ -35,9 +35,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.mp3 filter=lfs diff=lfs merge=lfs -text
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  *.ogg filter=lfs diff=lfs merge=lfs -text
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  *.wav filter=lfs diff=lfs merge=lfs -text
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- judgment/test.jsonl filter=lfs diff=lfs merge=lfs -text
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- judgment/train.jsonl filter=lfs diff=lfs merge=lfs -text
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- judgment/validation.jsonl filter=lfs diff=lfs merge=lfs -text
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- unanimity/test.jsonl filter=lfs diff=lfs merge=lfs -text
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- unanimity/train.jsonl filter=lfs diff=lfs merge=lfs -text
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- unanimity/validation.jsonl filter=lfs diff=lfs merge=lfs -text
 
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  *.mp3 filter=lfs diff=lfs merge=lfs -text
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  *.ogg filter=lfs diff=lfs merge=lfs -text
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  *.wav filter=lfs diff=lfs merge=lfs -text
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+ test.jsonl filter=lfs diff=lfs merge=lfs -text
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+ train.jsonl filter=lfs diff=lfs merge=lfs -text
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+ validation.jsonl filter=lfs diff=lfs merge=lfs -text
 
 
 
README.md CHANGED
@@ -5,7 +5,7 @@ language_creators:
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  - found
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  languages:
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  - pt
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- license:
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  - 'other'
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  multilinguality:
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  - monolingual
@@ -112,7 +112,7 @@ The dataset contains the following fields:
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  The data has been split randomly into 80% train (3234), 10% validation (404), 10% test (405).
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- There exist two configurations: judgment and unanimity
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  #### Judgment
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  Label Distribution
@@ -126,15 +126,16 @@ Label Distribution
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  #### Unanimity
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- In this configuration, all cases that have `not_determined` as `unanimity_label` are removed. The splits are not changed other than that.
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  Label Distribution
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- | unanimity_label | train | validation | test |
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- |:----------------|---------:|-----------:|--------:|
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- | unanimity | 1681 | 205 | 200 |
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- | not-unanimity | 34 | 6 | 4 |
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- | **total** | **1715** | **211** | **204** |
 
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  ## Dataset Creation
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  - found
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  languages:
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  - pt
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+ licenses:
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  - 'other'
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  multilinguality:
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  - monolingual
 
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  The data has been split randomly into 80% train (3234), 10% validation (404), 10% test (405).
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+ There are two tasks possible for this dataset.
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  #### Judgment
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  Label Distribution
 
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  #### Unanimity
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+ In this configuration, all cases that have `not_determined` as `unanimity_label` can be removed.
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  Label Distribution
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+ | unanimity_label | train | validation | test |
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+ |:-----------------|----------:|---------------:|---------:|
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+ | not_determined | 1519 | 193 | 201 |
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+ | unanimity | 1681 | 205 | 200 |
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+ | not-unanimity | 34 | 6 | 4 |
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+ | **total** | **3234** | **404** | **405** |
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  ## Dataset Creation
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convert_to_hf_dataset.py CHANGED
@@ -117,16 +117,16 @@ def print_split_table_single_label(train, validation, test, label_name):
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  print(table.to_markdown(index=False))
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- save_splits_to_jsonl("judgment")
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  print_split_table_single_label(train, validation, test, "judgment_label")
 
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  # create second config by filtering out rows with unanimity label == not_determined, while keeping the same splits
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- train = train[train.unanimity_label != "not_determined"]
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- validation = validation[validation.unanimity_label != "not_determined"]
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- test = test[test.unanimity_label != "not_determined"]
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- print_split_table_single_label(train, validation, test, "unanimity_label")
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  # it is a very small dataset and very imbalanced (only very few not-unanimity labels)
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- save_splits_to_jsonl("unanimity")
 
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  print(table.to_markdown(index=False))
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+ save_splits_to_jsonl("")
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  print_split_table_single_label(train, validation, test, "judgment_label")
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+ print_split_table_single_label(train, validation, test, "unanimity_label")
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  # create second config by filtering out rows with unanimity label == not_determined, while keeping the same splits
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+ # train = train[train.unanimity_label != "not_determined"]
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+ # validation = validation[validation.unanimity_label != "not_determined"]
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+ # test = test[test.unanimity_label != "not_determined"]
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  # it is a very small dataset and very imbalanced (only very few not-unanimity labels)
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+ # save_splits_to_jsonl("unanimity")
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validation.jsonl ADDED
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