Datasetpublic

connections-dev/s680_e700_original_1_high_0.7_16384_gemini-3-pro-preview__raw

Dataset: connections-dev/connection_queries_jan12 This dataset was generated using the inference script with the following configuration: Inference Parameters Model Configuration Model Name: gemini-3-pro-preview Server URL: Not specified API Key: Not provided Request Timeout: 30 seconds Query Configuration Query Type: natural Query Column: query Sampling Type: original Generation Parameters Temperature: 0.7 Max… See the full description on the dataset page: https://huggingface.co/datasets/connections-dev/s680_e700_original_1_high_0.7_16384_gemini-3-pro-preview__raw.

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Dataset Card

Dataset: connections-dev/connectionqueriesjan12

This dataset was generated using the inference script with the following configuration:

Inference Parameters

Model Configuration

—Model Name: gemini-3-pro-preview
—Server URL: Not specified
—API Key: Not provided
—Request Timeout: 30 seconds

Query Configuration

—Query Type: natural
—Query Column: query
—Sampling Type: original

Generation Parameters

—Temperature: 0.7
—Max Tokens: 16384
—Number of Runs: 1
—Chunk Size: Entire dataset
—Effort Level: high

Feature Flags

—Step by Step Reasoning: False
—Reasoning Enabled: False
—No Curator: False
—Index Filter: None (all samples)
—Start Index: 680
—End Index: 700

Data Information

—Input File: connections-dev/connection_queries_jan12
—Number of Samples: 20
—Output Filename: connection_queries_jan12__natural__s680__e700__original__1__high__0.7__16384__gemini-3-pro-preview.jsonl

Dataset Structure

The dataset contains the following key columns:

—query: The original query
—entity_a: Starting entity
—entity_b: Target entity
—rel_b: Target relationship
—path_prediction: Generated connection paths
—prompt_for_path: Prompts used for path generation

Usage

You can load this dataset using:

python

from datasets import load_dataset

dataset = load_dataset("s680_e700_original_1_high_0.7_16384_gemini-3-pro-preview__raw")

Generation Details

This dataset was generated on 2026-01-26 14:44:17 using the inference pipeline with the above configuration.