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Qwen3 1.7b Rloo Math Reasoning dataset by jaygala24
⭐ 38.5
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Dataset

Qwen3 1.7b Rloo Math Reasoning

by jaygala24 hf-dataset--jaygala24--qwen3-1.7b-rloo-math-reasoning
Nexus Index
38.5 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 98
Q: Quality 65
Tech Context
Vital Performance
0 DL / 30D
0.0%
Source →
Data Integrity 38.5 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-dataset--jaygala24--qwen3-1.7b-rloo-math-reasoning
License Apache-2.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__jaygala24__qwen3_1.7b_rloo_math_reasoning,
  author = {jaygala24},
  title = {Qwen3 1.7b Rloo Math Reasoning Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/jaygala24/qwen3-1.7b-rloo-math-reasoning}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
jaygala24. (2026). Qwen3 1.7b Rloo Math Reasoning [Dataset]. Free2AITools. https://huggingface.co/datasets/jaygala24/qwen3-1.7b-rloo-math-reasoning

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Full Specifications [+]

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
38.5
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 98
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3 1.7b Rloo Math Reasoning: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:98), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

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Dataset Specification

🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--jaygala24--qwen3-1.7b-rloo-math-reasoning
slug
jaygala24--qwen3-1.7b-rloo-math-reasoning
source
huggingface
author
jaygala24
license
Apache-2.0
tags
transformers, safetensors, qwen3, text-generation, reinforcement-learning, rloo, math-reasoning, pipelinerl, conversational, dataset:gsm8k_train, dataset:math_train, base_model:qwen/qwen3-1.7b, base_model:finetune:qwen/qwen3-1.7b, license:apache-2.0, text-generation-inference, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
1.7
context length
4,096
pipeline tag
text-generation

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