datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
yandex-qThis is a dataset of questions and answers scraped from Yandex.Q.yandexq-qa-chatmlChatML formatted version of its5Q/yandex-q.
promocodes_yandex_avito_wildberries_sber_marketplaces
Description in English:
The dataset is collected from Russian-language Telegram channels with promo codes, discounts and promotions from various marketplaces, such as Yandex Market, Wildberries, Ozon,The dataset was collected and tagged automatically using the data collection and tagging service Scoutie.Try Scoutie and collect the same or another dataset using link for FREE.
Dataset fields:
taskId - task identifier in the Scouti service. text - main text. url -… See the full description on the dataset page: https://huggingface.co/datasets/ScoutieAutoML/promocodes_yandex_avito_wildberries_sber_marketplaces.yandex_jobs
Dataset Card for Yandex_Jobs
Dataset Description
Dataset Summary
This is a dataset of more than 600 IT vacancies in Russian from parsing telegram channel https://t.me/ya_jobs. All the texts are perfectly structured, no missing values.
Supported Tasks and Leaderboards
text-generation with the 'Raw text column'.
summarization as for getting from all the info the header.
multiple-choice as for the hashtags (to choose multiple from all available in the… See the full description on the dataset page: https://huggingface.co/datasets/Kirili4ik/yandex_jobs.YandexGPTyandexq-qa-100
YandexQ QA (100 subset)
Traces generated using RU-CoT-Generator and liquid/lfm-2.5-8b-a1b as CoT generator.
Dataset based on sapbot/yandexq-qa-chatml.
yandexgptpro_4th_gen-hellaswag
YandexGPT Pro (4th Gen) HellaSwag
This dataset contains responses from the YandexGPT model evaluated on the HellaSwag benchmark. It was generated as part of an experiment to assess the model’s performance on multiple-choice commonsense reasoning tasks.
Dataset Details
Source: HellaSwag
Model: YandexGPT via Yandex Cloud Foundation Models API
Prompt style: Multiple-choice (A, B, C, D) with system prompt and task context
Fields:
id: index of the example
context: the base… See the full description on the dataset page: https://huggingface.co/datasets/ZennyKenny/yandexgptpro_4th_gen-hellaswag.yandexq-qa-cot-1k
YandexQ QA (1K subset)
Traces generated using RU-CoT-Generator and google/gemma-3-4b-it as CoT generator.
Dataset based on sapbot/yandexq-qa-chatml.