Datasets:

IFM
/

Pretrain-Behaviors

text stringlengths 38 351k	token_count int64 9 8k
# Recommendation System Design for E-commerce Personalization ## 1. Business Context At "HalloShop", a rapidly growing e-commerce platform specializing in lifestyle and home goods, the challenge of customer retention and conversion has become increasingly complex. With a catalog of over 100,000 products and millions ...	2,193
## 1. Research Question (RQ) > RQ: What is the causal effect of cultural‑and‑religious belief in a paradisiacal after‑life (the “Paradise‑Belief”) on the earthly representation of Paradise in material culture (art, architecture, literature, and public‐space design) across societies? The wording of the RQ di...	3,905
Here is a novel theoretical model of computation, self-contained and distinct from standard models like Turing machines or lambda calculus. This model is inspired by the dynamics of cellular automata and graph rewriting, but it introduces a new kind of **stateful, spatially distributed, and dynamically reconfig...	1,244
--- # Model Compression for AI Systems: A Context-Aware Approach ## 1. Introduction In an increasingly mobile and attention-scarce world, AI systems must be not only accurate but also efficient and context-aware. The modern user often faces scenarios where technology interferes with human interaction—such as...	2,146
# MLOps Workflow for a Production Machine Learning System --- ## 1. Introduction This document outlines a comprehensive MLOps workflow for deploying and managing a machine learning (ML) model in a production environment. The workflow integrates key MLOps concepts such as Continuous Integration/Continuous Dep...	1,893
Title Predicting the Cultural‑Artistic Identity of Cirque du Soleil Productions from Their Musical Selections: A Multimodal Deep‑Learning and Graph‑Analytic Framework Abstract Cirque du Soleil (C‑S) blends original music, choreography, and visual design to project a brand that is simultaneously Québec‑...	6,134
The Causal Impact of Using Kelley Blue Book (KBB) Values on Negotiated Prices for Used Motorcycles A rigorous observational‑study design, estimation, and validation plan --- ### 1. Introduction Kelley Blue Book (KBB) is widely cited as a “reliable resource for valuing used cars and motorcycles” because it...	5,125
## 1. Problem statement Internet Explorer (IE) has been the most “fragmented” browser in the modern web era: \| IE version \| Typical market share (historical) \| Rendering quirks \| \|------------\|-----------------------------------\|------------------\| \| IE 6  \| ≈ 35 % (legacy corporate) \| Box‑model, PNG‑...	3,820
Technical Design Document: Graph Neural Network for Infrastructure Connectivity and Communication Monitoring --- Project Title: Graph Neural Network for Monitoring and Predicting Impact of Civil Infrastructure on Wireless Communication Systems --- ### 1. Project Overview This project proposes a *...	2,258
# MLOps Workflow for a Production System with Configurable Business Logic and ML Integration --- ## 1. Introduction This document outlines a comprehensive MLOps workflow for a production system that integrates configurable business logic (as demonstrated in the `populateIsRejectionAllowed` method) wi...	2,664
## Executive Summary Goal: Build a production‑grade, enterprise‑scale data pipeline that continuously enriches every prospect with internal behavior + BANT + real‑time market‑trend & competitive‑dynamic signals so that sales can be alerted the moment a lead becomes sales‑acceptable (i.e., “hot”). **K...	5,871
## 1️⃣ INTP Cognitive Profile ↔ Data‑Science Role \| INTP Dominant/Auxiliary Functions \| Typical Strength for a Data Scientist \| Typical Weakness that Must Be Managed \| How to Leverage / Mitigate in a DS Career \| \|-----------------------------------\|----------------------------------------\|---------------------------...	5,699
## 1. Executive Summary – What “Houzz‑scale” Websites Actually Spend \| Cost Category \| Typical Annual Spend for a Houzz‑scale site* \| % of Total OPEX \| \|-----------------------------------\|---------------------------------------------------\|-----------------\| \| Cloud Hosting & CDN (compute...	4,696

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Pretrain-Behaviors

Dataset Description

Behavior-focused text covering reasoning, planning, data science, games, general content, and format rewriting. This repository is part of the K2 Horizon collection.

The repository is organized into multiple subsets. Every subset has a train split backed by Parquet shards, which supports Dataset Viewer inspection and streaming access.

K2 Horizon Dataset Series

Dataset repository	Focus	Subsets
IFM/TxT360-v2	Web and question-answering text	3
IFM/Code-Reasoning	Code reasoning and task synthesis	7
IFM/Math-Reasoning	Mathematical reasoning and dialogue	5
IFM/SFT-Reasoning	Instruction following and SFT-style data	2
IFM/Pretrain-Behaviors	Behavior-focused pretraining data	7

Dataset Subsets

Subset	Data files
`reasoning`	`reasoning/*.parquet`
`general`	`general/*.parquet`
`planning`	`planning/*.parquet`
`data-science`	`data-science/*.parquet`
`games`	`games/*.parquet`
`other`	`other/*.parquet`
`format-rewrites`	`format-rewrites/*.parquet`

Repository Structure

README.md
reasoning/
  <source-file>-<stable-id>-00000.parquet
  <source-file>-<stable-id>-00001.parquet
general/
  <source-file>-<stable-id>-00000.parquet
  <source-file>-<stable-id>-00001.parquet
planning/
  <source-file>-<stable-id>-00000.parquet
  <source-file>-<stable-id>-00001.parquet
data-science/
  <source-file>-<stable-id>-00000.parquet
  <source-file>-<stable-id>-00001.parquet
games/
  <source-file>-<stable-id>-00000.parquet
  <source-file>-<stable-id>-00001.parquet
other/
  <source-file>-<stable-id>-00000.parquet
  <source-file>-<stable-id>-00001.parquet
format-rewrites/
  <source-file>-<stable-id>-00000.parquet
  <source-file>-<stable-id>-00001.parquet

The shard prefix is derived from the source JSONL filename and a stable identifier. Updating one source JSONL file replaces only that file's Parquet shards.

Data Fields

Records originate as JSON objects and are converted to Parquet for release. Field names and nested structures can differ by subset. Inspect features before building a processing pipeline:

from datasets import load_dataset

dataset = load_dataset(
    "IFM/Pretrain-Behaviors",
    "reasoning",
    split="train",
    streaming=True,
)
print(dataset.features)
print(next(iter(dataset)))

Data Provenance and Processing

Individual subsets may have undergone source-specific filtering, cleaning, deduplication, quality scoring, or synthetic-data generation. Users should evaluate each subset for their target use case and inspect the available provenance metadata.

Intended Use

This dataset is intended for language-model training and research. The subsets can be streamed independently, combined with user-defined sampling weights, or inspected through the Hugging Face Dataset Viewer.

Limitations and Responsible Use

Large-scale training data can contain factual errors, duplicated material, sensitive topics, stereotypes, unsafe content, and other artifacts. Dataset users are responsible for performing evaluations, risk assessment, and filtering appropriate to their application.

License and Terms of Use

This dataset is licensed under the Apache License 2.0 available at https://www.apache.org/licenses/LICENSE-2.0.

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K2 Horizon models, datasets, and supporting resources • 22 items • Updated about 5 hours ago • 51