| --- |
| 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<n<100K |
| --- |
| |
| # Telugu MultiTask Instruct 77K — Adaption AutoScientist Challenge Dataset |
|
|
| > **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/)** |
|
|
