feat: update README

README.md

@@ -1,5 +1,25 @@
 ---
-license: cc-by-nc-nd-4.0
+annotations_creators:
+- expert-generated
+language_creators:
+- translated
+language:
+- ru
+license:
+- cc-by-nc-nd-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- summarization
+task_ids: []
+paperswithcode_id: samsum-corpus
+pretty_name: SAMSum Corpus (ru)
+tags:
+- conversations-summarization
 dataset_info:
   features:
   - name: id
@@ -20,4 +40,62 @@ dataset_info:
     num_examples: 819
   download_size: 9554042
   dataset_size: 18478720.514933478
+train-eval-index:
+- config: samsum-ru
+  task: summarization
+  task_id: summarization
+  splits:
+    eval_split: test
+  col_mapping:
+    dialogue: text
+    summary: target
 ---
+# Dataset Card for SAMSum Corpus
+## Dataset Description
+### Notes
+> Row with ID **13828807** was deleted.
+### Links
+- **Homepage:** hhttps://arxiv.org/abs/1911.12237v2
+- **Repository:** https://arxiv.org/abs/1911.12237v2
+- **Paper:** https://arxiv.org/abs/1911.12237v2
+
+### Dataset Summary
+The SAMSum dataset contains about 16k messenger-like conversations with summaries. Conversations were created and written down by linguists fluent in English. Linguists were asked to create conversations similar to those they write on a daily basis, reflecting the proportion of topics of their real-life messenger conversations. The style and register are diversified - conversations could be informal, semi-formal or formal, they may contain slang words, emoticons and typos. Then, the conversations were annotated with summaries. It was assumed that summaries should be a concise brief of what people talked about in the conversation in third person.
+The SAMSum dataset was prepared by Samsung R&D Institute Poland and is distributed for research purposes (non-commercial licence: CC BY-NC-ND 4.0).
+
+### Languages
+Russian (translated from English [samsum](https://huggingface.co/datasets/samsum) using Google Translator)
+
+## Dataset Structure
+
+### Data Fields
+- dialogue: text of dialogue.
+- summary: human written summary of the dialogue.
+- id: unique file id of an example.
+
+### Data Splits
+- train: 14731
+- val: 818
+- test: 819
+
+## Licensing Information
+non-commercial licence: CC BY-NC-ND 4.0
+
+## Citation Information
+```
+@inproceedings{gliwa-etal-2019-samsum,
+    title = "{SAMS}um Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization",
+    author = "Gliwa, Bogdan  and
+      Mochol, Iwona  and
+      Biesek, Maciej  and
+      Wawer, Aleksander",
+    booktitle = "Proceedings of the 2nd Workshop on New Frontiers in Summarization",
+    month = nov,
+    year = "2019",
+    address = "Hong Kong, China",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/D19-5409",
+    doi = "10.18653/v1/D19-5409",
+    pages = "70--79"
+}
+```