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README.md

@@ -1,35 +1,244 @@
 ---
 annotations_creators:
-- other
+  - other
+configs:
+  - config_name: absabank-imm
+    data_files:
+      - path: data/absabank-imm/absabank-imm_train.tsv
+        split: train
+      - path: data/absabank-imm/absabank-imm_test.tsv
+        split: test
+      - path: data/absabank-imm/absabank-imm_dev.tsv
+        split: dev
+    names:
+      - id
+      - text
+      - label
+      - a0
+      - a1
+      - a3
+      - a4
+      - a6
+      - a7
+      - a8
+      - a9
+      - a10
+      - a11
+  - config_name: argumentation-sentences
+    data_files:
+      - path: data/argumentation-sentences/argumentation-sentences_test.tsv
+        split: test
+      - path: data/argumentation-sentences/argumentation-sentences_dev.tsv
+        split: dev
+      - path: data/argumentation-sentences/argumentation-sentences_train.tsv
+        split: train
+    names:
+      - sentence_id
+      - topic
+      - label
+      - sentence
+  - config_name: dalaj-ged-superlim
+    data_files:
+      - path: data/dalaj-ged-superlim/dalaj-ged-superlim_test.jsonl
+        split: test
+      - path: data/dalaj-ged-superlim/dalaj-ged-superlim_train.jsonl
+        split: train
+      - path: data/dalaj-ged-superlim/dalaj-ged-superlim_dev.jsonl
+        split: dev
+    names:
+      - sentence
+      - label
+      - meta
+  - config_name: supersim-superlim-relatedness
+    data_files:
+      - path: data/supersim-superlim/supersim-superlim-relatedness_test.tsv
+        split: test
+      - path: data/supersim-superlim/supersim-superlim-relatedness_train.tsv
+        split: train
+    names:
+      - word_1
+      - word_2
+      - a1
+      - a2
+      - a3
+      - a4
+      - a5
+      - label
+  - config_name: supersim-superlim-similarity
+    data_files:
+      - path: data/supersim-superlim/supersim-superlim-similarity_test.tsv
+        split: test
+      - path: data/supersim-superlim/supersim-superlim-similarity_train.tsv
+        split: train
+    names:
+      - word_1
+      - word_2
+      - a1
+      - a2
+      - a3
+      - a4
+      - a5
+      - label
+  - config_name: sweanalogy
+    data_files:
+      - path: data/sweanalogy/sweanalogy_train.tsv
+        split: train
+      - path: data/sweanalogy/sweanalogy_test.tsv
+        split: test
+    names:
+      - pair1_element1
+      - pair1_element2
+      - pair2_element1
+      - label
+      - category
+  - config_name: swediagnostics
+    data_files:
+      - path: data/swediagnostics/swediagnostics_test.tsv
+        split: test
+    names:
+      - id
+      - label
+      - premise
+      - hypothesis
+      - meta
+  - config_name: swedn
+    data_files:
+      - path: data/swedn/swedn_add_info.tsv
+        split: stats
+  - config_name: swefaq
+    data_files:
+      - path: data/swefaq/swefaq_test.jsonl
+        split: test
+      - path: data/swefaq/swefaq_dev.jsonl
+        split: dev
+      - path: data/swefaq/swefaq_train.jsonl
+        split: train
+    names:
+      - category_id
+      - question
+      - candidate_answers
+      - label
+      - meta
+  - config_name: swenli
+    data_files:
+      - path: data/swenli/swenli_dev.tsv
+        split: dev
+      - path: data/swenli/swenli_train.tsv
+        split: train
+      - path: data/swenli/swenli_test.tsv
+        split: test
+    names:
+      - id
+      - premise
+      - hypothesis
+      - label
+  - config_name: swenli_match_swefracas
+    data_files:
+      - path: data/swenli/swenli_test_match_swefracas.tsv
+        split: test
+    names:
+      - id
+      - premise
+      - hypothesis
+      - label
+      - original_id
+  - config_name: sweparaphrase
+    data_files:
+      - path: data/sweparaphrase/sweparaphrase_dev.tsv
+        split: dev
+      - path: data/sweparaphrase/sweparaphrase_train.tsv
+        split: train
+      - path: data/sweparaphrase/sweparaphrase_test.tsv
+        split: test
+    names:
+      - genre
+      - file
+      - sentence_1
+      - sentence_2
+      - label
+  - config_name: swesat-synonyms
+    data_files:
+      - path: data/swesat-synonyms/swesat-synonyms_test.jsonl
+        split: test
+      - path: data/swesat-synonyms/swesat-synonyms_train.jsonl
+        split: train
+    names:
+      - id
+      - item
+      - candidate_answers
+      - label
+      - meta
+  - config_name: swewic
+    data_files:
+      - path: data/swewic/swewic_train.jsonl
+        split: train
+      - path: data/swewic/swewic_test.jsonl
+        split: test
+      - path: data/swewic/swewic_dev.jsonl
+        split: dev
+    names:
+      - idx
+      - first
+      - second
+      - label
+      - meta
+  - config_name: swewinogender
+    data_files:
+      - path: data/swewinogender/swewinogender.jsonl
+        split: train
+      - path: data/swewinogender/swewinogender_test.jsonl
+        split: test
+    names:
+      - idx
+      - premise
+      - hypothesis
+      - label
+      - meta
+  - config_name: swewinograd
+    data_files:
+      - path: data/swewinograd/swewinograd_test.jsonl
+        split: test
+      - path: data/swewinograd/swewinograd_train.jsonl
+        split: train
+      - path: data/swewinograd/swewinograd_dev.jsonl
+        split: dev
+    names:
+      - idx
+      - text
+      - pronoun
+      - candidate_antecedent
+      - label
+      - meta
 language:
-- sv
+  - sv
 language_creators:
-- other
+  - other
 multilinguality:
-- monolingual
-pretty_name: >-
-  A standardized suite for evaluation and analysis of Swedish natural language
+  - monolingual
+pretty_name: A standardized suite for evaluation and analysis of Swedish natural language
   understanding systems.
 size_categories:
-- unknown
+  - unknown
 source_datasets: []
 task_categories:
-- multiple-choice
-- text-classification
-- question-answering
-- sentence-similarity
-- token-classification
-- summarization
+  - multiple-choice
+  - text-classification
+  - question-answering
+  - sentence-similarity
+  - token-classification
+  - summarization
 task_ids:
-- sentiment-analysis
-- acceptability-classification
-- closed-domain-qa
-- word-sense-disambiguation
-- coreference-resolution
+  - sentiment-analysis
+  - acceptability-classification
+  - closed-domain-qa
+  - word-sense-disambiguation
+  - coreference-resolution
 ---
+
 # Dataset Card for Superlim-2
 
 ## Table of Contents
+
 - [Table of Contents](#table-of-contents)
 - [Dataset Description](#dataset-description)
   - [Dataset Summary](#dataset-summary)
@@ -64,7 +273,7 @@ task_ids:
 
 ### Dataset Summary
 
-SuperLim 2.0 is a continuation of SuperLim 1.0, which aims for a standardized suite for evaluation and analysis of Swedish natural language understanding systems. The projects is inspired by the GLUE/SuperGLUE projects from which the name is derived: "lim" is the Swedish translation of "glue".   
+SuperLim 2.0 is a continuation of SuperLim 1.0, which aims for a standardized suite for evaluation and analysis of Swedish natural language understanding systems. The projects is inspired by the GLUE/SuperGLUE projects from which the name is derived: "lim" is the Swedish translation of "glue".
 
 Since Superlim 2.0 is a collection of datasets, we refer for information about dataset structure, creation, social impact etc. to the specific data cards or documentation sheets in the official GitHub repository: https://github.com/spraakbanken/SuperLim-2/
 
@@ -92,7 +301,6 @@ Most datasets have a train, dev and test split. However, there are a few (`super
 
 ## Dataset Creation
 
-
 ### Curation Rationale
 
 See individual datasets: https://github.com/spraakbanken/SuperLim-2/
@@ -146,7 +354,7 @@ All datasets constituting Superlim are available under Creative Commons licenses
 ### Citation Information
 
 To cite as a whole, use the standard reference. If you use or reference individual resources, cite the references specific for these resources:
- 
+
 Standard reference:
 
 Superlim: A Swedish Language Understanding Evaluation Benchmark (Berdicevskis et al., EMNLP 2023)
@@ -190,4 +398,4 @@ Superlim: A Swedish Language Understanding Evaluation Benchmark (Berdicevskis et
 
 ```
 
-Thanks to [Felix Morger](https://github.com/felixhultin) for adding this dataset.
+Thanks to [Felix Morger](https://github.com/felixhultin) for adding this dataset.