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014esv /rameau Rameau: functional harmony from notation A text-to-text dataset and benchmark for functional harmony: Roman-numeral analysis, cadence classification, and key identification. A probabilistic common-practice grammar generates the progressions; four task framings hide the answer to increasing degrees. Chord-symbol lookup stops working after the first one. Named for Jean-Philippe Rameau, whose Traité de l'harmonie (1722) started the discipline. symbol_to_rn key: C major /… See the full description on the dataset page: https://huggingface.co/datasets/4esv/rameau.texttext-generation10K<n<100K0 likes197 downloads3mo agoHugging Face02RamAnanth1 /lex-fridman-podcasts Dataset Card for Lex Fridman Podcasts Dataset This dataset is sourced from Andrej Karpathy's Lexicap website which contains English transcripts of Lex Fridman's wonderful podcast episodes. The transcripts were generated using OpenAI's large-sized Whisper model texttext-classificationn<1K6 likes102 downloads4y agoHugging Face03dcmutlu /gordon-ramsay-code-review-v2 Gordon Ramsay Code Review & Auditor Corpus v2 (dcmutlu/gordon-ramsay-code-review-v2) A high-density synthetic dataset of 10,000 multi-turn code review pairs designed to fine-tune open-weight reasoners (specifically Qwen2.5-Coder-7B-Instruct) into Chef Gordon Ramsay: Sovereign Executive Code Auditor and Supreme Software Gastronomer. 🍳 Dataset Overview This dataset merges rigorous computer science diagnostics (Abstract Syntax Tree inspection, concurrency lifecycle… See the full description on the dataset page: https://huggingface.co/datasets/dcmutlu/gordon-ramsay-code-review-v2.texttext-generation10K<n<100K0 likes75 downloads16d agoHugging Face04rampisipati /DeepSeek-V4-Distill-8000x 🐳 DeepSeek-V4-Distill-8100x Dataset Summary DeepSeek-V4-Distill-8100x is a supervised fine-tuning dataset for reasoning-oriented distillation. The question prompts come from Jackrong/GLM-5.1-Reasoning-1M-Cleaned, and the answers were generated by the teacher model DeepSeek-V4-Flash. After the cleaning process, the released train split contains 7,716 high-quality JSONL examples. [!NOTE] The answer pool was cleaned to remove real-time questions… See the full description on the dataset page: https://huggingface.co/datasets/rampisipati/DeepSeek-V4-Distill-8000x.texttext-generation1K<n<10K0 likes69 downloads5mo agoHugging Face05ramendik /kimify-ifeval-like Kimify IFEval-Like Dataset Dataset Description This dataset contains 10,070 verified instruction-following conversations in the IFEval format. Each example includes: A user prompt with embedded constraints An assistant response that satisfies those constraints Metadata describing the constraint types and parameters All examples have been programmatically verified using the instruction-following-eval library (based on Google Research's IFEval) to ensure 100% constraint… See the full description on the dataset page: https://huggingface.co/datasets/ramendik/kimify-ifeval-like.texttext-generation10K<n<100K0 likes59 downloads8mo agoHugging Face06dcmutlu /gordon-ramsay-code-review gordon-ramsay-code-review Autonomous synthetic pretraining dataset synthesized by JESUS Sovereign Forge. Synthesized via JESUS Sovereign Cloud Model Forge (hf-colab-forge) for native byte-level micro-transformers (Atom GPT) and LLM fine-tuning. Dataset Summary Metric Value Total Scenarios 500 Train Samples 450 Validation Samples 50 Total Byte Tokens 819,927 Train Tokens 737,852 Val Tokens 82,075 Vocab Size 258 (UTF-8 Bytes + BOS/PAD)… See the full description on the dataset page: https://huggingface.co/datasets/dcmutlu/gordon-ramsay-code-review.texttext-generationn<1K0 likes56 downloads26d agoHugging Face07Ramikan-BR /code.evol.instruct.wiz.oss_python.jsontabulartext-generation1K<n<10K0 likes30 downloads2y agoHugging Face08ramendik /kimify-short-20260131A conversational dataset generated by Kimi K2 0905 Instruct. The user prompts were taken from two datasets: smoltalk multilingual - English prompts in the "advice-seeking" category smoltalk - in the "smol-magpie-ultra-short" category. Note these involve three user/assistant turns. System prompts were used to encourage brevity, for example: "You are Kimi K2, a versatile AI assistant. Be concise, clear, and punchy—aim for brief but helpful responses. Keep your distinctive voice but stay… See the full description on the dataset page: https://huggingface.co/datasets/ramendik/kimify-short-20260131.texttext-generation10K<n<100K0 likes29 downloads8mo agoHugging Face09Ramikan-BR /data-oss_instruct-decontaminated_python.jsonltabulartext-generation10K<n<100K0 likes22 downloads2y agoHugging Face10ramendik /kimify-20251115 Took a randomized selection of prompts from smoltalk-multilingual (several categories such as advice-seeking) and smoltalk-magpie-ultra. Got answers from Kimi K2. Pruned untrue/unverifiable statements. This dataset is intended to teach K2's style to an LLM. Maximal length of a full sample: 6000 tokens; average ~1470 tokebs texttext-generation1K<n<10K0 likes21 downloads10mo agoHugging Face11kartik3das /Ask-The-Ramayana 📖 AskTheRamayana A curated dataset of 90+ short, factual statements about the Ramayana — designed for QA fine-tuning, RAG systems, and cultural knowledge retrieval. 🕉️ Dataset Overview Attribute Description Theme Character-based focus (Ram, Sita, Laxman, Hanuman, Ravan, or general) Chapter Kand from Valmiki Ramayana (Bal Kand to Uttar Kand) Content One sentence (≤20 words) describing a key event or trait Each entry is concise, factual, and rooted in… See the full description on the dataset page: https://huggingface.co/datasets/kartik3das/Ask-The-Ramayana.texttext-generationn<1K0 likes4 downloads4mo agoHugging Face

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