Update README.md

README.md

@@ -1,292 +1,291 @@
----
-dataset_info:
-- config_name: cited_count_en
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: value
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 153923446
-    num_examples: 164037
-  - name: test
-    num_bytes: 17299606
-    num_examples: 18227
-  download_size: 96766516
-  dataset_size: 171223052
-- config_name: cited_count_ru
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: value
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 270027978
-    num_examples: 164037
-  - name: test
-    num_bytes: 30221754
-    num_examples: 18227
-  download_size: 142100419
-  dataset_size: 300249732
-- config_name: corerisc_en
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: label
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 73341997
-    num_examples: 71179
-  - name: test
-    num_bytes: 8166576
-    num_examples: 7909
-  download_size: 46316647
-  dataset_size: 81508573
-- config_name: corerisc_ru
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: label
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 126882101
-    num_examples: 71179
-  - name: test
-    num_bytes: 14138146
-    num_examples: 7909
-  download_size: 66804789
-  dataset_size: 141020247
-- config_name: grnti_en
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 23162752
-    num_examples: 24338
-  - name: test
-    num_bytes: 2370958
-    num_examples: 2517
-  download_size: 14573785
-  dataset_size: 25533710
-- config_name: grnti_ru
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 45889708
-    num_examples: 28399
-  - name: test
-    num_bytes: 4505718
-    num_examples: 2764
-  download_size: 23982191
-  dataset_size: 50395426
-- config_name: oecd_en
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 23554397
-    num_examples: 25524
-  - name: test
-    num_bytes: 2731300
-    num_examples: 2982
-  download_size: 15027636
-  dataset_size: 26285697
-- config_name: oecd_ru
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 43096907
-    num_examples: 27680
-  - name: test
-    num_bytes: 4970053
-    num_examples: 3197
-  download_size: 23005782
-  dataset_size: 48066960
-- config_name: pub_type_en
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 3313212
-    num_examples: 4150
-  - name: test
-    num_bytes: 365129
-    num_examples: 462
-  download_size: 2117609
-  dataset_size: 3678341
-- config_name: pub_type_ru
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: label
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 5840922
-    num_examples: 4150
-  - name: test
-    num_bytes: 659760
-    num_examples: 462
-  download_size: 3117503
-  dataset_size: 6500682
-- config_name: yearpubl_en
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: value
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 154116011
-    num_examples: 164037
-  - name: test
-    num_bytes: 17107041
-    num_examples: 18227
-  download_size: 96733496
-  dataset_size: 171223052
-- config_name: yearpubl_ru
-  features:
-  - name: paper_id
-    dtype: int64
-  - name: text
-    dtype: string
-  - name: value
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 270193175
-    num_examples: 164037
-  - name: test
-    num_bytes: 30056557
-    num_examples: 18227
-  download_size: 141958702
-  dataset_size: 300249732
-configs:
-- config_name: cited_count_en
-  data_files:
-  - split: train
-    path: cited_count_en/train-*
-  - split: test
-    path: cited_count_en/test-*
-- config_name: cited_count_ru
-  data_files:
-  - split: train
-    path: cited_count_ru/train-*
-  - split: test
-    path: cited_count_ru/test-*
-- config_name: corerisc_en
-  data_files:
-  - split: train
-    path: corerisc_en/train-*
-  - split: test
-    path: corerisc_en/test-*
-- config_name: corerisc_ru
-  data_files:
-  - split: train
-    path: corerisc_ru/train-*
-  - split: test
-    path: corerisc_ru/test-*
-- config_name: grnti_en
-  data_files:
-  - split: train
-    path: grnti_en/train-*
-  - split: test
-    path: grnti_en/test-*
-- config_name: grnti_ru
-  data_files:
-  - split: train
-    path: grnti_ru/train-*
-  - split: test
-    path: grnti_ru/test-*
-- config_name: oecd_en
-  data_files:
-  - split: train
-    path: oecd_en/train-*
-  - split: test
-    path: oecd_en/test-*
-- config_name: oecd_ru
-  data_files:
-  - split: train
-    path: oecd_ru/train-*
-  - split: test
-    path: oecd_ru/test-*
-- config_name: pub_type_en
-  data_files:
-  - split: train
-    path: pub_type_en/train-*
-  - split: test
-    path: pub_type_en/test-*
-- config_name: pub_type_ru
-  data_files:
-  - split: train
-    path: pub_type_ru/train-*
-  - split: test
-    path: pub_type_ru/test-*
-- config_name: yearpubl_en
-  data_files:
-  - split: train
-    path: yearpubl_en/train-*
-  - split: test
-    path: yearpubl_en/test-*
-- config_name: yearpubl_ru
-  data_files:
-  - split: train
-    path: yearpubl_ru/train-*
-  - split: test
-    path: yearpubl_ru/test-*
-language:
-- ru
-- en
-tags:
-- benchmark
-- mteb
-- text classification
-- text regression
----
-
+---
+dataset_info:
+- config_name: cited_count_en
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: value
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 153923446
+    num_examples: 164037
+  - name: test
+    num_bytes: 17299606
+    num_examples: 18227
+  download_size: 96766516
+  dataset_size: 171223052
+- config_name: cited_count_ru
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: value
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 270027978
+    num_examples: 164037
+  - name: test
+    num_bytes: 30221754
+    num_examples: 18227
+  download_size: 142100419
+  dataset_size: 300249732
+- config_name: corerisc_en
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: label
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 73341997
+    num_examples: 71179
+  - name: test
+    num_bytes: 8166576
+    num_examples: 7909
+  download_size: 46316647
+  dataset_size: 81508573
+- config_name: corerisc_ru
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: label
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 126882101
+    num_examples: 71179
+  - name: test
+    num_bytes: 14138146
+    num_examples: 7909
+  download_size: 66804789
+  dataset_size: 141020247
+- config_name: grnti_en
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 23162752
+    num_examples: 24338
+  - name: test
+    num_bytes: 2370958
+    num_examples: 2517
+  download_size: 14573785
+  dataset_size: 25533710
+- config_name: grnti_ru
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 45889708
+    num_examples: 28399
+  - name: test
+    num_bytes: 4505718
+    num_examples: 2764
+  download_size: 23982191
+  dataset_size: 50395426
+- config_name: oecd_en
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 23554397
+    num_examples: 25524
+  - name: test
+    num_bytes: 2731300
+    num_examples: 2982
+  download_size: 15027636
+  dataset_size: 26285697
+- config_name: oecd_ru
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 43096907
+    num_examples: 27680
+  - name: test
+    num_bytes: 4970053
+    num_examples: 3197
+  download_size: 23005782
+  dataset_size: 48066960
+- config_name: pub_type_en
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 3313212
+    num_examples: 4150
+  - name: test
+    num_bytes: 365129
+    num_examples: 462
+  download_size: 2117609
+  dataset_size: 3678341
+- config_name: pub_type_ru
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 5840922
+    num_examples: 4150
+  - name: test
+    num_bytes: 659760
+    num_examples: 462
+  download_size: 3117503
+  dataset_size: 6500682
+- config_name: yearpubl_en
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: value
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 154116011
+    num_examples: 164037
+  - name: test
+    num_bytes: 17107041
+    num_examples: 18227
+  download_size: 96733496
+  dataset_size: 171223052
+- config_name: yearpubl_ru
+  features:
+  - name: paper_id
+    dtype: int64
+  - name: text
+    dtype: string
+  - name: value
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 270193175
+    num_examples: 164037
+  - name: test
+    num_bytes: 30056557
+    num_examples: 18227
+  download_size: 141958702
+  dataset_size: 300249732
+configs:
+- config_name: cited_count_en
+  data_files:
+  - split: train
+    path: cited_count_en/train-*
+  - split: test
+    path: cited_count_en/test-*
+- config_name: cited_count_ru
+  data_files:
+  - split: train
+    path: cited_count_ru/train-*
+  - split: test
+    path: cited_count_ru/test-*
+- config_name: corerisc_en
+  data_files:
+  - split: train
+    path: corerisc_en/train-*
+  - split: test
+    path: corerisc_en/test-*
+- config_name: corerisc_ru
+  data_files:
+  - split: train
+    path: corerisc_ru/train-*
+  - split: test
+    path: corerisc_ru/test-*
+- config_name: grnti_en
+  data_files:
+  - split: train
+    path: grnti_en/train-*
+  - split: test
+    path: grnti_en/test-*
+- config_name: grnti_ru
+  data_files:
+  - split: train
+    path: grnti_ru/train-*
+  - split: test
+    path: grnti_ru/test-*
+- config_name: oecd_en
+  data_files:
+  - split: train
+    path: oecd_en/train-*
+  - split: test
+    path: oecd_en/test-*
+- config_name: oecd_ru
+  data_files:
+  - split: train
+    path: oecd_ru/train-*
+  - split: test
+    path: oecd_ru/test-*
+- config_name: pub_type_en
+  data_files:
+  - split: train
+    path: pub_type_en/train-*
+  - split: test
+    path: pub_type_en/test-*
+- config_name: pub_type_ru
+  data_files:
+  - split: train
+    path: pub_type_ru/train-*
+  - split: test
+    path: pub_type_ru/test-*
+- config_name: yearpubl_en
+  data_files:
+  - split: train
+    path: yearpubl_en/train-*
+  - split: test
+    path: yearpubl_en/test-*
+- config_name: yearpubl_ru
+  data_files:
+  - split: train
+    path: yearpubl_ru/train-*
+  - split: test
+    path: yearpubl_ru/test-*
+language:
+- ru
+- en
+tags:
+- benchmark
+- mteb
+- text classification
+- text regression
+---
 # RuSciBench Dataset Collection
 
 This repository contains the datasets for the **RuSciBench** benchmark, designed for evaluating semantic vector representations of scientific texts in Russian and English.
@@ -304,26 +303,38 @@ The benchmark includes a variety of tasks grouped into Classification, Regressio
 ### Classification Tasks
 
 1.  **Topic Classification (OECD):** Classify papers based on the first two levels of the Organization for Economic Co-operation and Development (OECD) rubricator (29 classes).
-    *   `RuSciBenchOecdRuClassification` (`oecd_ru`)
-    *   `RuSciBenchOecdEnClassification` (`oecd_en`)
+    *   `RuSciBenchOecdRuClassification` (subset `oecd_ru`)
+    *   `RuSciBenchOecdEnClassification` (subset `oecd_en`)
 2.  **Topic Classification (GRNTI/SRSTI):** Classify papers based on the first level of the State Rubricator of Scientific and Technical Information (GRNTI/SRSTI) (29 classes).
-    *   `RuSciBenchGrntiRuClassification` (`grnti_ru`)
-    *   `RuSciBenchGrntiEnClassification` (`grnti_en`)
+    *   `RuSciBenchGrntiRuClassification` (subset `grnti_ru`)
+    *   `RuSciBenchGrntiEnClassification` (subset `grnti_en`)
 3.  **Core RISC Affiliation:** Binary classification task to determine if a paper belongs to the Core of the Russian Index of Science Citation (RISC).
-    *   `RuSciBenchCoreRiscRuClassification` (`corerisc_ru`)
-    *   `RuSciBenchCoreRiscEnClassification` (`corerisc_en`)
+    *   `RuSciBenchCoreRiscRuClassification` (subset `corerisc_ru`)
+    *   `RuSciBenchCoreRiscEnClassification` (subset `corerisc_en`)
 4.  **Publication Type Classification:** Classify documents into types like 'article', 'conference proceedings', 'survey', etc. (7 classes, balanced subset used).
-    *   `RuSciBenchPubTypesRuClassification` (`pub_type_ru`)
-    *   `RuSciBenchPubTypesEnClassification` (`pub_type_en`)
+    *   `RuSciBenchPubTypesRuClassification` (subset `pub_type_ru`)
+    *   `RuSciBenchPubTypesEnClassification` (subset `pub_type_en`)
 
 ### Regression Tasks
 
 1.  **Year of Publication Prediction:** Predict the publication year of the paper.
-    *   `RuSciBenchYearPublRuRegression` (`yearpubl_ru`)
-    *   `RuSciBenchYearPublEnRegression` (`yearpubl_en`)
+    *   `RuSciBenchYearPublRuRegression` (subset `yearpubl_ru`)
+    *   `RuSciBenchYearPublEnRegression` (subset `yearpubl_en`)
 2.  **Citation Count Prediction:** Predict the number of times a paper has been cited.
-    *   `RuSciBenchCitedCountRuRegression` (`cited_count_ru`)
-    *   `RuSciBenchCitedCountEnRegression` (`cited_count_en`)
+    *   `RuSciBenchCitedCountRuRegression` (subset `cited_count_ru`)
+    *   `RuSciBenchCitedCountEnRegression` (subset `cited_count_en`)
+
+### Retrieval Tasks
+
+1.  **Direct Citation Prediction:** Given a query paper abstract, retrieve abstracts of papers it directly cites from the corpus. Uses a retrieval setup (all non-positive documents are negative). ([Dataset Link](https://huggingface.co/datasets/mlsa-iai-msu-lab/ru_sci_bench_cite_retrieval))
+    *   `RuSciBenchCiteRuRetrieval`
+    *   `RuSciBenchCiteEnRetrieval`
+2.  **Co-Citation Prediction:** Given a query paper abstract, retrieve abstracts of papers that are co-cited with it (cited by at least 5 common papers). Uses a retrieval setup. ([Dataset Link](https://huggingface.co/datasets/mlsa-iai-msu-lab/ru_sci_bench_cocite_retrieval))
+    *   `RuSciBenchCociteRuRetrieval`
+    *   `RuSciBenchCociteEnRetrieval`
+3.  **Translation Search:** Given an abstract in one language (e.g., Russian), retrieve its corresponding translation (e.g., English abstract of the same paper) from the corpus of abstracts in the target language. ([Dataset Link](https://huggingface.co/datasets/mlsa-iai-msu-lab/ru_sci_bench_translation_search))
+    *   `RuSciBenchTranslationSearchEnRetrieval` (Query: En, Corpus: Ru)
+    *   `RuSciBenchTranslationSearchRuRetrieval` (Query: Ru, Corpus: En)
 
 ## Usage