Add more semantics, logical & reasoning datasets | multilingual

I believe that such data can help the model become more meaningful; at the moment, when tested, for example, on semantic tests (evaluate which words from the list are synonyms), the model gives terrible results.

I will gradually develop this idea (as well as refine this issue) and find (then adapt in QnA/instruction format) datasets that could potentially help solve this problem.

Very useful source: https://allenai.org/data

Semantics:

• [semantics] [multilingual] Tatoeba Q&A Translation Dataset; resolved by https://github.com/LAION-AI/Open-Assistant/pull/3114
• [semantics] [multilingual] Word similarity dataset; resolved by https://github.com/LAION-AI/Open-Assistant/pull/3200
• [semantics] [russian] RUSSE is series of workshops on Russian Semantic Evaluation. Each workshop is centered around a shared task on a specific topic related to the semantic processing of the Russian language; https://github.com/nlpub/russe-evaluation (too many entries; ws ds^ covered Russian too, so no need)
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Reasoning & Logic:

• [reasoning, logic] [russian] Russian Riddles; resolved by https://github.com/LAION-AI/Open-Assistant/pull/3074
• [reasoning, logic] [bulgarian] reasoning_bg; resolved by https://github.com/LAION-AI/Open-Assistant/pull/3137
• [reasoning, logic] [english] gsm8k; resolved by https://github.com/LAION-AI/Open-Assistant/pull/3149
• [reasoning, logic] [english] gsm-hard; resolved by https://github.com/LAION-AI/Open-Assistant/pull/3149
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Instructions:

• [instruction-following] [russian] ru-turbo-alpaca https://huggingface.co/datasets/IlyaGusev/ru_turbo_alpaca

No files, tests, or entry points are named; start by reviewing the remaining unchecked dataset request, especially ru-turbo-alpaca. Done would require selecting and adapting additional datasets into QnA or instruction format, but the issue does not define a final scope or validation criteria.