README.md

---
license: apache-2.0
task_categories:
- text-classification
- question-answering
- summarization
- translation
language:
- tl
- en
tags:
- tagalog
- distill
- gemini
- self instruct
- synthetic
size_categories:
- n<1K
---
# SimpleQnA Dataset Description

**SimpleQnA** is a straightforward question-and-answer dataset in Tagalog. It covers many topics and task types, mixing simple and complex instructions. Some instructions are in English to avoid the model learning Tagalog-only responses when given Tagalog prompts.

The dataset includes constraints borrowed from Tulu 3, Muffin, and IFEval for instruction-following diversity. Random sampling is used to enhance variety.

---

## Topics and Task Types Included

### Basic and Common Tasks
- Answer general knowledge questions.
- Solve basic math word problems and arithmetic.
- Explain simple Python code or write pseudocode.
- Roleplay brief scenarios as specific characters.
- Generate short creative pieces like poems or story ideas.
- Tell or generate jokes on given topics.
- Create multiple-choice questions with answers and explanations.
- Make fill-in-the-blanks sentences with missing words.
- Generate true/false statements with validity.
- Extract specific info from short texts.
- Summarize short paragraphs concisely.
- Respond to simple conversational prompts.
- Answer trivia questions.
- Play simple word games (e.g., synonyms).
- Outline steps for common planning tasks.
- Explain STEM concepts simply.
- Answer open-ended factual questions.
- Classify short texts by category.
- Rewrite sentences in different tones.
- Brainstorm ideas on simple topics.
- Generate short content like product taglines.

### Expanded and More Complex Tasks
- Write journal-style entries on topics, emotions, or experiences.
- Continue or finish open-ended story prompts with style traits.
- Rewrite texts in different styles or tones (formal, casual, specific authors).
- Create creative works under unusual constraints (e.g., fixed vowels, word counts).
- Perform tasks like drafting emails or writing commented pseudocode.
- Plan multi-step tasks, then estimate costs or resources.
- Follow instructions avoiding certain elements or styles.
- Summarize chat transcripts with main points.
- Solve math, logic, or coding problems with step-by-step explanations.
- Identify and correct errors in text, code, or logic with explanations.
- Perform unit conversions.
- Create multiple-choice questions with detailed rationales.
- Solve problems using chain-of-thought reasoning.
- Judge true/false statements with justification.
- Analyze mixed factual/fictional texts, flagging each.
- Simplify dense or technical texts for laypeople or kids.
- Rewrite paragraphs in multiple specified ways (simplify, clarify, shorten).
- Define complex terms with simple examples.
- Create or solve text puzzles and provide solutions.
- Reflect on hypothetical personal experiences in journal form.
- Generate creative prompts for specific genres or themes.

### Complex and Advanced Topics
- Advanced general knowledge questions requiring synthesis.
- Multi-step algebra, geometry proofs, probability problems.
- Debugging and explaining complex code or algorithms.
- Nuanced roleplaying with conflicting emotions or goals.
- Wordplay or philosophical jokes.
- Fill-in-the-blanks with technical or academic vocabulary.
- True/false statements on specialized topics with detailed justification.
- Extracting multiple linked facts from dense texts.
- Summarizing research papers or lengthy opinion pieces.
- In-depth conversations on ethical, philosophical, or societal dilemmas.
- Difficult trivia requiring obscure or multi-step logic.
- Detailed project planning with budgets and timelines.
- Logical reasoning to find fallacies in arguments.
- Ethical guideline proposals for AI applications.
- Editing academic or legal texts for clarity and impact.
- Debunking complex misconceptions step-by-step.
- Analyzing social scenarios with hidden motives.
- Explaining advanced STEM concepts to non-experts.
- Open-ended critical thinking and multi-domain Q&A.
- Fine-grained classification with ambiguous inputs.
- Closed Q&A from lengthy technical documents.
- Rewriting biased reports into neutral summaries.
- Brainstorming innovative global solutions.
- Creating complex structured documents (character bios, grant proposals, FAQs).

### AI Awareness & Safety Handling
- Explaining AI capabilities and limitations.
- Reflecting on AI knowledge cut-off and its effects.
- Handling sensitive, inappropriate, or potentially harmful requests responsibly.

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SimpleQnA is diverse and rich. It tests simple question answering but also pushes the model to handle complex tasks, follow constraints, and respond naturally in Tagalog and English.