Create README.md

README.md

@@ -1,4 +1,27 @@
 ---
+annotations_creators:
+- crowdsourced
+language_creators:
+- translated
+language:
+- ru
+license:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- conv_ai_3
+task_categories:
+- conversational
+- text-classification
+task_ids:
+- text-scoring
+paperswithcode_id: null
+pretty_name: conv_ai_3 (ru)
+tags:
+- evaluating-dialogue-systems
 dataset_info:
   features:
   - name: topic_id
@@ -19,16 +42,55 @@ dataset_info:
     dtype: string
   - name: answer
     dtype: string
+  config_name: conv_ai_3
   splits:
   - name: train
-    num_bytes: 4327400
     num_examples: 9176
   - name: validation
-    num_bytes: 1066112
     num_examples: 2313
-  download_size: 581860
-  dataset_size: 5393512
 ---
-# Dataset Card for "conv_ai_3_ru"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+# Dataset Card for d0rj/conv_ai_3_ru
+
+## Dataset Description
+
+- **Homepage:** https://github.com/aliannejadi/ClariQ
+- **Repository:** https://github.com/aliannejadi/ClariQ
+- **Paper:** https://arxiv.org/abs/2009.11352
+
+### Dataset Summary
+
+This is translated version of [conv_ai_3](https://huggingface.co/datasets/conv_ai_3) dataset to Russian language.
+
+### Languages
+
+Russian (translated from English).
+
+## Dataset Structure
+
+### Data Fields
+
+- `topic_id`: the ID of the topic (`initial_request`).
+- `initial_request`: the query (text) that initiates the conversation.
+- `topic_desc`: a full description of the topic as it appears in the TREC Web Track data.
+- `clarification_need`: a label from 1 to 4, indicating how much it is needed to clarify a topic. If an `initial_request` is self-contained and would not need any clarification, the label would be 1. While if a `initial_request` is absolutely ambiguous, making it impossible for a search engine to guess the user's right intent before clarification, the label would be 4.
+- `facet_id`: the ID of the facet.
+- `facet_desc`: a full description of the facet (information need) as it appears in the TREC Web Track data.
+- `question_id`: the ID of the question..
+- `question`: a clarifying question that the system can pose to the user for the current topic and facet.
+- `answer`: an answer to the clarifying question, assuming that the user is in the context of the current row (i.e., the user's initial query is `initial_request`, their information need is `facet_desc`, and `question` has been posed to the user).
+
+### Citation Information
+
+@misc{aliannejadi2020convai3,
+title={ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)},
+author={Mohammad Aliannejadi and Julia Kiseleva and Aleksandr Chuklin and Jeff Dalton and Mikhail Burtsev},
+year={2020},
+eprint={2009.11352},
+archivePrefix={arXiv},
+primaryClass={cs.CL}
+}
+
+### Contributions
+
+Thanks to [@rkc007](https://github.com/rkc007) for adding this dataset.