--- license: cc-by-sa-3.0 task_categories: - question-answering - text-generation - translation - summarization language: - te tags: - adaption-labs - autoscientist - telugu - low-resource-language - multi-task - reasoning-traces - hackathon size_categories: - 10K **Powered by Adaptive Data — [Adaption Labs](https://www.adaptionlabs.ai/)** ## Dataset Description A large-scale, multi-task Telugu instruction-tuning dataset combining 77,653 rows from 7 open-source Telugu NLP collections. Covers diverse tasks including news summarization, QA, creative writing, translation, and general instruction following — all processed through the **Adaption Labs AutoScientist** platform for quality enhancement. This dataset was created for the [2026 Adaption AutoScientist Challenge](https://hackindia.org/2026/adaption-autoscientist-challenge-50000-prize-pool) (Language Category). ## Dataset Details | Field | Value | |:---|:---| | **Size** | 77,653 rows | | **Format** | JSONL | | **Language** | Telugu (te) | | **License** | CC-BY-SA-3.0 | ## Source Data & Attribution | Source | Description | License | |:---|:---|:---| | Telugu Alpaca Cleaned (`telugu_ai_instructions`) | General instruction following | CC-BY-4.0 | | Dolci SFT Telugu (`telugu_instruction_pairs`) | Instruction-response pairs | Apache-2.0 | | TyDi QA Telugu (`telugu_qa_news_gen`) | News-based QA | Apache-2.0 | | Aya Telugu Poems & News (`telugu_news_and_poetry_gen`) | Creative writing & journalism | Apache-2.0 | | Telugu News Summarization (`telugu_news_summaries`) | Article summarization | MIT | | Samanantar EN-TE / Dolly 15K (`english_to_telugu_translation`) | Translation pairs | CC-0 / CC-BY-SA-3.0 | | Telugu QA Andhra Facts (`telugu_qa_andhra_facts`) | Regional knowledge QA | Mixed Open | ## Quality Enhancement via Adaption Labs The dataset was processed through the Adaption Labs Adaptive Data Pipeline: | Metric | Before | After | Change | |:---|:---|:---|:---| | Grade | C | **B** | ⬆️ | | Score | 6.0 | **8.14** | +35.6% | | Percentile | — | **18.23** | — | **AutoScientist features applied:** - ✅ Prompt Deduplication - ✅ Prompt Rephrase - ✅ Hallucination Mitigation - ✅ Reasoning Traces ## Associated Model - **HuggingFace:** [narendarcodes/adaption-gpt-oss-120b-telugu-instruct](https://huggingface.co/narendarcodes/adaption-gpt-oss-120b-telugu-instruct) - **Base Model:** `togethercomputer/gpt-oss-120b-bf16` (117B) - **Win Rate:** 66% adapted vs. 34% base ## Citation ``` @misc{golla2026telugu_data, title={Telugu MultiTask Instruct 77K Dataset}, author={Golla Narendar}, year={2026}, note={Processed via Adaption Labs AutoScientist. Powered by Adaptive Data.} } ``` --- > **Powered by Adaptive Data — [Adaption Labs](https://www.adaptionlabs.ai/)**