πŸ“Š
Nqp Bench dataset by prophesier
⭐ 59.7
πŸ“Š
Dataset

Nqp Bench

by prophesier prophesier/nqp-bench
Free2AITools Nexus Index
59.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 61
P: Popularity 51
R: Recency 85
Q: Quality 50
Tech Context
Vital Performance —
Source β†’
Data Integrity 59.7 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID prophesier/nqp-bench
License Other
Provider huggingface
πŸ“œ

Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_prophesier_nqp_bench,
  author = {prophesier},
  title = {Nqp Bench Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/prophesier/NQP-Bench}},
  note = {Accessed via Free2AITools.}
}
APA Style
prophesier. (2026). Nqp Bench [Dataset]. Free2AITools. https://huggingface.co/datasets/prophesier/NQP-Bench

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 61
Popularity (P) 51
Recency (R) 85
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Nqp Bench: Authority (A:61), Popularity (P:51), Recency (R:85), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
⬇️
Downloads
31,208

🎯 Task Categories

text-generation

πŸ‘οΈ Data Preview

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Schema structure is shown in the Field Logic panel when available.

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🧬 Field Logic

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Schema not yet indexed for this dataset.

Dataset Specification

NQP-Bench

NQP-Bench is a benchmark for next-query prediction in multi-turn conversations. Given the previous user-assistant dialogue history, the task is to predict the user's next query.

This release contains two public subsets:

Subset Source Train Test Note
NQP-Wild WildChat 15,683 2,329 public training and test subset
NQP-Share ShareChat - 1,947 test-only cross-source subset

The private subset NQP-Priv is not released.

Data Format

Each line is a JSON object:

json 
{
  "session_id": "...",
  "source_dataset": "sharechat",
  "history": [
    {
      "turn_idx": 1,
      "query": "...",
      "response": "..."
    }
  ],
  "target": "...",
  "difficulty": "Hard",
  "intent_transfer_type": "deepening",
  "intent_primary": "Reasoning",
  "intent_secondary": "Math & Logic",
  "target_intention": "...",
  "intent_clarity": 3,
  "num_turns": 4
}

Fields

Field Description
session_id Conversation/session identifier.
source_dataset Source dataset name, e.g., wildchat or sharechat.
history Previous dialogue turns used as input context.
history[].turn_idx Turn index in the conversation.
history[].query User query in a previous turn.
history[].response Assistant response in a previous turn.
target Ground-truth next user query to be predicted.
difficulty Difficulty label.
intent_transfer_type Intent transition type.
intent_primary Primary intent category.
intent_secondary Secondary intent category.
target_intention Short n

Social Proof

HuggingFace Hub
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πŸ€— Data Source: Hugging Face β†—
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Source summary: Based on Hugging Face metadata. Not a recommendation.

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πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--prophesier--nqp-bench
slug
prophesier--nqp-bench
source
huggingface
author
prophesier
license
Other
tags
task_categories:text-generation, language:en, license:other, size_categories:10k<n<100k, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2605.23668, region:us

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
31,208
stars
null
forks
null

Data indexed from public sources. Updated daily.