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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01jensjepsen /esperanto-orca-math-full Esperanto Orca-Math (full, unfiltered) 197,849 EO chain-of-thought math reasoning examples translated from microsoft/orca-math-word-problems-200k via jensjepsen/eo-mt-v5b (MarianMT), with v5b operator-drop artifacts repaired post-hoc. This is the unfiltered companion to jensjepsen/esperanto-orca-math (which is filtered to Q+A ≤ 512 morpheme-tokens for our small student). Use this one if your model has a wider context window — it includes the long reasoning chains that didn't fit… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/esperanto-orca-math-full.texttext-generation100K<n<1M0 likes10 downloads3mo agoHugging Face02jensjepsen /esperanto-alpaca-distill esperanto-alpaca-distill Esperanto Alpaca distill: 98,329 instruction/response pairs from yahma/alpaca-cleaned, distilled through LiquidAI/LFM2.5-350M (EN answers), then translated EN→EO via jensjepsen/eo-mt-v5b. Format: messages. texttext-generation10K<n<100K0 likes9 downloads3mo agoHugging Face03jensjepsen /esperanto-orca-math Esperanto Orca-Math Chain-of-thought math reasoning examples in Esperanto, translated from microsoft/orca-math-word-problems-200k via jensjepsen/eo-mt-v5b (MarianMT en→eo). v5b's occasional operator-drop artifacts (e.g. 6 * 9 → 6 9) were repaired post-hoc by detecting A B = C patterns where A * B == C and re-inserting the *. Format: {"messages": [{"role": "user", "content": Q_eo}, {"role": "assistant", "content": A_eo}]} Files train.jsonl (128,689 rows) —… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/esperanto-orca-math.texttext-generation100K<n<1M0 likes8 downloads3mo agoHugging Face

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