BenchMark's
Collection
Jibay's exclusive benchmarks • 1 item • Updated • 1
Datasets:
benchmark_name stringclasses 3
values | language stringclasses 3
values | version stringclasses 1
value | total_questions int64 500 500 | scoring dict | judge_modes listlengths 4 4 | recommended_judging dict | inspired_by listlengths 4 4 | items listlengths 500 500 |
|---|---|---|---|---|---|---|---|---|
PPRC-Bench-AR-JibayAi-500x | ar | 1.0.0 | 500 | {"correct":5,"incorrect":0,"blank":0,"near_miss":0,"rule":"لا تُحتسب إلا الإجابة (...TRUNCATED) | [
"exact",
"semantic",
"list_exact",
"order_exact"
] | {"exact":"وحّد المسافات وعلامات الترقيم والأرقام العربية/ا(...TRUNCATED) | [
"ParsiNLU",
"PCoQA",
"PersianQuAD",
"Persian coreference resolution benchmarks"
] | [{"id":"PJC_0001","category":"comprehension","subtype":"single_turn","context":"نركس وضع كت(...TRUNCATED) |
PPRC-Bench-EN-JibayAi-500x | en | 1.0.0 | 500 | {"correct":5,"incorrect":0,"blank":0,"near_miss":0,"rule":"Only the correct answer scores; wrong, bl(...TRUNCATED) | [
"exact",
"semantic",
"list_exact",
"order_exact"
] | {"exact":"Normalize spaces, punctuation, and Arabic/Persian digits, then compare.","semantic":"Count(...TRUNCATED) | [
"ParsiNLU",
"PCoQA",
"PersianQuAD",
"Persian coreference resolution benchmarks"
] | [{"id":"PJC_0001","category":"comprehension","subtype":"single_turn","context":"Narges placed a book(...TRUNCATED) |
PPRC-Bench by jibay.ir | fa | 1.0.0 | 500 | {"correct":5,"incorrect":0,"blank":0,"near_miss":0,"rule":"فقط پاسخ درست امتیاز م(...TRUNCATED) | [
"exact",
"semantic",
"list_exact",
"order_exact"
] | {"exact":"normalize spaces, punctuation, Arabic/Persian digits, then compare","semantic":"only count(...TRUNCATED) | [
"ParsiNLU",
"PCoQA",
"PersianQuAD",
"Persian coreference resolution benchmarks"
] | [{"id":"PJC_0001","category":"comprehension","subtype":"single_turn","context":"نرگس کتاب ر(...TRUNCATED) |
PRCC-BENCH
Persian Reasoning, Comprehension, Conversation Benchmark
Developed by Jibay Ai
Persian Benchmark for Evaluating Understanding, Reasoning, Question Answering, Information Extraction, Instruction Following and Analysis.
About
PRCC-BENCH is a large-scale Persian benchmark developed by Jibay Ai to evaluate real-world capabilities of language models.
Unlike traditional benchmarks that mainly focus on memorization or factual recall, PRCC-BENCH evaluates whether a model can truly:
- Understand
- Reason
- Answer questions
- Extract information
- Follow instructions
- Analyze complex situations
The benchmark aims to provide a practical and realistic measurement of Persian language intelligence.
Benchmark Information
| Property | Value |
|---|---|
| Name | PRCC-BENCH |
| Organization | Jibay Ai |
| Language | Persian |
| Version | 1.0.0 |
| Total Questions | 500 |
| Scoring | +5 Correct |
| Incorrect | 0 |
| Blank | 0 |
| Evaluation | Exact + Semantic |
Evaluation Categories
1. Comprehension
Measures whether a model truly understands language.
Capabilities:
- Context understanding
- Event tracking
- Entity understanding
- Reference resolution
- Passage comprehension
- Multi-step understanding
Examples:
- Identify actors
- Understand actions
- Detect context relationships
- Interpret meaning
2. Reasoning
Measures logical thinking ability.
Capabilities:
- Deduction
- Cause and effect
- Multi-step reasoning
- Temporal reasoning
- Consistency
Examples:
- Infer hidden conclusions
- Connect multiple facts
- Solve contextual tasks
3. Question Answering
Measures:
- Accuracy
- Completeness
- Precision
- Context awareness
Task types:
- Direct QA
- Contextual QA
- Implicit answers
- Multi-part questions
4. Information Extraction
Measures:
- Entity extraction
- Number extraction
- Fact retrieval
- Relationship understanding
- Context filtering
Examples:
- Extract important details
- Ignore irrelevant information
5. Instruction Following
Measures:
- Obeying requirements
- Exact formatting
- Rule execution
- Constraint handling
Examples:
- Structured output
- Following conditions
- Response discipline
6. Analysis
Measures:
- Deep understanding
- Comparison
- Problem decomposition
- Conclusion generation
Examples:
- Analytical reasoning
- Evidence comparison
Scoring System
| Result | Score |
|---|---|
| Correct | +5 |
| Incorrect | 0 |
| Blank | 0 |
| Near Match | 0 |
Rule:
Only fully correct responses receive points.
Judging Modes
Exact Match
Normalization includes:
- Spaces
- Persian digits
- Punctuation
Comparison occurs after normalization.
Semantic Match
Answers are accepted only if meaning remains fully equivalent.
List Exact
All required information must exist.
Order Exact
Required order must remain preserved.
Intended Use Cases
PRCC-BENCH may be used for:
- AI Evaluation
- LLM Benchmarking
- Academic Research
- Product Testing
- Regression Testing
- Persian Model Comparison
- Quality Assurance
Philosophy
Understanding > Memorization
Reasoning > Pattern Matching
Execution > Generation
License
This project is licensed under:
CC BY-ND
Creative Commons Attribution — No Derivatives
Permission granted:
✅ Use
✅ Evaluate
✅ Publish Results
✅ Compare Models
✅ Share Benchmark
Conditions:
- Attribution must remain visible.
- Original benchmark identity must remain unchanged.
Additional Project Policy:
- Modifying PRCC-BENCH is not authorized for official distribution.
- Publishing altered versions as official releases is not permitted.
- Publishing under another benchmark identity is not recognized as an official release.
- Official upgrades and official benchmark publications are reserved exclusively for Jibay Ai.
Citation
If you use PRCC-BENCH:
PRCC-BENCH (Version 1.0.0)
Developed by Jibay Ai
فارسی
معرفی
PRCC-BENCH یک بنچمارک زبان فارسی توسعهیافته توسط Jibay Ai است.
هدف این پروژه ارزیابی توانایی واقعی مدلهای هوش مصنوعی در انجام وظایف زبانی و تحلیلی است.
این بنچمارک بر موارد زیر تمرکز دارد:
- درک
- استدلال
- سوال و جواب
- استخراج اطلاعات
- پیروی از دستورات
- تحلیل
مشخصات
| ویژگی | مقدار |
|---|---|
| نام | PRCC-BENCH |
| توسعهدهنده | Jibay Ai |
| زبان | فارسی |
| نسخه | 1.0.0 |
| تعداد سوال | 500 |
| امتیاز پاسخ صحیح | 5 |
| پاسخ غلط | 0 |
| ارزیابی | دقیق + معنایی |
بخشهای ارزیابی
درک
سنجش توانایی مدل در:
- فهم متن
- دنبال کردن رویداد
- تشخیص ارجاع
- درک رابطهها
استدلال
بررسی:
- منطق
- علت و معلول
- تحلیل چندمرحلهای
- نتیجهگیری
سوال و جواب
ارزیابی:
- دقت
- کامل بودن
- وابستگی به متن
استخراج اطلاعات
بررسی:
- استخراج موجودیت
- استخراج عدد
- تشخیص اطلاعات مهم
پیروی از دستورات
بررسی:
- رعایت محدودیت
- اجرای دقیق
- حفظ ساختار
تحلیل
بررسی:
- تجزیه مسئله
- مقایسه
- استنتاج
سیستم امتیازدهی
پاسخ صحیح: ۵
سایر حالتها: ۰
فقط پاسخ کاملاً صحیح امتیاز دریافت میکند.
مجوز
این پروژه تحت مجوز:
CC BY-ND
منتشر شده است.
همه افراد و سازمانها مجاز هستند:
✅ استفاده کنند
✅ ارزیابی انجام دهند
✅ نتایج منتشر کنند
✅ مقایسه انجام دهند
اما:
❌ هیچ شخص یا سازمانی اجازه تغییر یا ارتقاء نسخه رسمی را ندارد.
❌ انتشار نسخه تغییر یافته به عنوان نسخه رسمی مجاز نیست.
❌ انتشار با نام دیگر به عنوان نسخه رسمی مجاز نیست.
✅ حق توسعه نسخه رسمی، ارتقاء و انتشارات رسمی فقط متعلق به Jibay Ai است.
PRCC-BENCH
Version 1.0.0
by jibay.ir
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