Update README.md

README.md

@@ -18,7 +18,7 @@ size_categories:
 ### Dataset summary
 
 This dataset is a DeepL -based machine translated version of the Jigsaw toxicity dataset for Finnish. The dataset is originally from a Kaggle competition https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/data.
-The dataset poses a multi-label text classification problem.
+The dataset poses a multi-label text classification problem and includes the labels `identity_attack, insult, obscene, severe_toxicity, threat and toxicity`.
 
 #### Example data
 
@@ -26,7 +26,6 @@ The dataset poses a multi-label text classification problem.
 {
 "id": "879ad7bdba4cedaa",
 "label_identity_attack": 0,
-# for these "0 or 1"?
 "label_insult": 0,
 "label_obscene": 0,
 "label_severe_toxicity": 0,
@@ -39,6 +38,8 @@ The dataset poses a multi-label text classification problem.
 
 ### Data fields
 
+Fields marked as `label_` have either `0` to convey *not* having that category of toxicity in the text and `1` to convey having that category of toxicity present in the text.
+
 - `id`: a `string` feature.
 - `label_identity_attack`: a `int32` feature. 
 - `label_insult`: a `int32` feature.
@@ -46,7 +47,7 @@ The dataset poses a multi-label text classification problem.
 - `label_severe_toxicity`: a `int32` feature.
 - `label_threat`: a `int32` feature.
 - `label_toxicity`: a `int32` feature.
-- `lang`: a `string` feature,
+- `lang`: a `string` feature.
 - `text`: a `string` feature.
 
 
@@ -56,7 +57,7 @@ The splits are the same as in the original English data.
 
 |    |  train | test |
 | -------- | -----: | ---------: |
-| Jigsaw toxicity data | 130319 |      11873 |
+| Jigsaw toxicity data | 159571 | 63978 |
 
 ### Considerations for Using the Data
 Due to DeepL terms and conditions, this dataset **must not be used for any machine translation work**, namely machine translation