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Dataset

Hnm Search Data

Name: Hnm Search Data
Creator: Rajeev Gupta

by Rajeev Gupta rajeev-gupta/hnm-search-data

Free2AITools Nexus Index

36.0

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 61

P: Popularity 60

R: Recency 43

Q: Quality 50

Tech Context

Vital Performance —

Source →

Data Integrity 36 FNI Score

- Size

- Rows

- Tokens

Dataset Information Summary
Entity Passport
Registry ID	rajeev-gupta/hnm-search-data
Provider	huggingface

📜

Cite this dataset

Academic & Research Attribution

BibTeX

@misc{hf_dataset_rajeev_gupta_hnm_search_data,
  author = {Rajeev Gupta},
  title = {Hnm Search Data Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/rajeev-gupta/hnm-search-data}},
  note = {Accessed via Free2AITools.}
}

APA Style

Rajeev Gupta. (2026). Hnm Search Data [Dataset]. Free2AITools. https://huggingface.co/datasets/rajeev-gupta/hnm-search-data

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 61

Popularity (P) 60

Recency (R) 43

Quality (Q) 50

💬 Index Insight

FNI V2.0 for Hnm Search Data: Authority (A:61), Popularity (P:60), Recency (R:43), 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

166,093

🎯 Task Categories

text-ranking text-retrieval text-classification

👁️ Data Preview

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Row-level preview not available for this dataset.

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

configs:

config_name: articles data_files:
- split: train path: data/raw/articles.csv
config_name: customers data_files:
- split: train path: data/raw/customers.csv
config_name: transactions data_files:
- split: train path: data/raw/transactions_train.csv dataset_info:
config_name: articles features:
- name: article_id dtype: int64
- name: product_code dtype: int64
- name: prod_name dtype: string
- name: product_type_no dtype: int64
- name: product_type_name dtype: string
- name: product_group_name dtype: string
- name: graphical_appearance_no dtype: int64
- name: graphical_appearance_name dtype: string
- name: colour_group_code dtype: int64
- name: colour_group_name dtype: string
- name: perceived_colour_value_id dtype: int64
- name: perceived_colour_value_name dtype: string
- name: perceived_colour_master_id dtype: int64
- name: perceived_colour_master_name dtype: string
- name: department_no dtype: int64
- name: department_name dtype: string
- name: index_code dtype: string
- name: index_name dtype: string
- name: index_group_no dtype: int64
- name: index_group_name dtype: string
- name: section_no dtype: int64
- name: section_name dtype: string
- name: garment_group_no dtype: int64
- name: garment_group_name dtype: string
- name: detail_desc dtype: string
config_name: customers features:
- name: customer_id dtype: string
- name: FN dtype: float64
- name: Active dtype: float64
- name: club_member_status dtype: string
- name: fashion_news_frequency dtype: string
- name: age dtype: float64
- name: postal_code dtype: string
config_name: transactions features:
- name: t_dat dtype: string
- name: customer_id dtype: string
- name: article_id dtype: int64
- name: price dtype: float64
- name: sales_channel_id dtype: int64 task_categories:
text-ranking

Social Proof

HuggingFace Hub

166.1KDownloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-dataset--rajeev-gupta--hnm-search-data
slug: rajeev-gupta--hnm-search-data
source: huggingface
author: Rajeev Gupta
license
tags: task_categories:text-ranking, task_categories:text-retrieval, task_categories:text-classification, language:en, size_categories:10m<n<100m, format:csv, modality:image, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, fashion, e-commerce, customer-behavior, tabular, recommendation-systems, search, ranking

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

📊 Engagement & Metrics

downloads: 166,093
stars: 0
forks: 0

Data indexed from public sources. Updated daily.