connections-dev/s700_e720_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/s700_e720_original_1_high_0.7_16384_gemini-3-pro-preview__raw.
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:
700 - End Index:
720
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s700__e720__original__1__high__0.7__16384__gemini-3-pro-preview.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("s700_e720_original_1_high_0.7_16384_gemini-3-pro-preview__raw")Generation Details
This dataset was generated on 2026-01-26 14:46:40 using the inference pipeline with the above configuration.
