Update README with detailed dataset card - Adaption AutoScientist Challenge

README.md

@@ -1,47 +1,88 @@
 ---
-license: other
-license_name: mixed-permissive
-license_link: LICENSE
-language:
-- te
-pretty_name: Telugu MultiTask Instruct 77K
-size_categories:
-- 10K<n<100K
+license: cc-by-sa-3.0
 task_categories:
-- text-generation
 - question-answering
+- text-generation
 - translation
 - summarization
+language:
+- te
 tags:
 - adaption-labs
 - autoscientist
 - telugu
-- instruction-following
+- low-resource-language
+- multi-task
+- reasoning-traces
+- hackathon
+size_categories:
+- 10K<n<100K
 ---
 
-# Telugu MultiTask Instruct 77K
+# Telugu MultiTask Instruct 77K — Adaption AutoScientist Challenge Dataset
+
+> **Powered by Adaptive Data — [Adaption Labs](https://www.adaptionlabs.ai/)**
 
-This dataset is a curated, high-density composite of 7 open-source Telugu NLP datasets. All source distributions have been normalized, cleaned, and enhanced using the **Adaption Labs** platform as part of the 2026 Adaption AutoScientist Challenge (Language Category).
+## 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
-- **Dataset ID:** `1abb2918-abc3-4581-907d-be1470787ffc`
-- **Row Count:** 77,653
-- **Language:** Telugu (`te`)
-- **Primary Task Formats:** News headline generation, article writing, question answering, poetry completion, and SQL query translation.
-
-## Adaptive Quality Evaluation
-The dataset was enhanced and evaluated using the Adaption Labs Data Pipeline, resulting in significant quality improvements:
-- **Grade:** Improved from **C** to **B**
-- **Score:** Improved from **6.0** to **8.14**
-- **Percentile:** **18.23** (relative platform ranking)
-- **Relative Improvement:** **35.6%**
-
-## Composition & Source Licenses
-This composite dataset inherits permissions from the following underlying collections:
-- **Telugu Alpaca Cleaned** (`telugu_ai_instructions`): CC-BY-4.0
-- **Dolci SFT Telugu** (`telugu_instruction_pairs`): Apache-2.0
-- **TyDi QA Telugu** (`telugu_qa_news_gen`): Apache-2.0
-- **Aya Telugu Poems & News Articles** (`telugu_news_and_poetry_gen`): Apache-2.0
-- **Telugu News Summarization** (`telugu_news_summaries`): MIT
-- **Samanantar EN-TE / Dolly 15K** (`english_to_telugu_translation`): CC-0 / CC-BY-SA-3.0
-- **Telugu QA Andhra Facts** (`telugu_qa_andhra_facts`): Mixed Open Licenses
+
+| 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/)**