Datasets:

CrowdMind
/

pretrain-tasks

text stringlengths 2.54k 165k
Question: Alice is climbing stairs in a laboratory where the air is filled with tiny droplets of a special liquid. Each day, she climbs A stairs upwards, but at night, she slides down B stairs due to the liquid's resistance. The boiling point of the liquid decreases with decreasing droplet size due to surface tension e...
Question: A chemist is studying a series of beverages, each represented by a unique integer identifier from 0 to n-1. To analyze these beverages, the chemist calculates a sequence a0, ..., an-1, where each ai is the sum of digits of the identifier i in a k-based notation, denoted as sk(i). The chemist also performs a s...
Question: You are given three integers $n$, $l$, and $r$. You need to construct an array $a_1, a_2, \dots, a_n$ ($l \le a_i \le r$) such that $\gcd(i, a_i)$ are all distinct or report there's no solution. Assume that the values of $a_i$ represent the equilibrium partial pressures of a gas species $I_2(g)$ in an ideal g...
"Question: At the Round Table, each knight drinks a unique mixture of acids, affecting their mood ba(...TRUNCATED)
"Question: In the country there are N cities numbered 1 through N, which are connected by N-1 bidire(...TRUNCATED)
"Question: There are n kids, numbered from 1 to n, dancing in a circle around the Christmas tree. Ea(...TRUNCATED)
"Question: Carving the Quantum Cake\n\nJOI-kun and IOI-chan are twin brothers and sisters. JOI has b(...TRUNCATED)
"Question: Little Shino is interested in the fighting tournaments and their underlying dynamics. She(...TRUNCATED)
"Question: Radewoosh is playing a computer game where he must navigate through n levels, each repres(...TRUNCATED)
"Question: BCPC stands for Byteforces Collegiate Programming Contest, and is the most famous competi(...TRUNCATED)

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Merged Text Splits Clean

A single text dataset containing 23 source subsets. Each subset has a short, lowercase alphanumeric split name and a consistent text column.

Load a subset

from datasets import load_dataset

ds = load_dataset("CrowdMind/merged-text-splits-v2", split="n11code")
print(ds[0]["text"])

Use any split name from the table below. For example, n1math loads the v1 math textbooks subset, n11code loads the v1.1 code concepts subset, and bashcode loads the Bash code subset.

Subsets

Split	Source dataset	Source config	Rows
`n1infinibyte`	`nvidia/Nemotron-Pretraining-Specialized-v1`	`Nemotron-Pretraining-InfiniByte-Reasoning`	10,300
`n1math`	`nvidia/Nemotron-Pretraining-Specialized-v1`	`Nemotron-Pretraining-Math-Textbooks`	24
`n1rqa`	`nvidia/Nemotron-Pretraining-Specialized-v1`	`Nemotron-Pretraining-RQA`	13
`n1stemsft`	`nvidia/Nemotron-Pretraining-Specialized-v1`	`Nemotron-Pretraining-STEM-SFT`	27
`n1scicoding`	`nvidia/Nemotron-Pretraining-Specialized-v1`	`Nemotron-Pretraining-Scientific-Coding`	39
`n1wiki`	`nvidia/Nemotron-Pretraining-Specialized-v1`	`Nemotron-Pretraining-Wiki-Rewrite`	63
`n11code`	`nvidia/Nemotron-Pretraining-Specialized-v1.1`	`Nemotron-Pretraining-Code-Concepts`	15,225,409
`n11econ`	`nvidia/Nemotron-Pretraining-Specialized-v1.1`	`Nemotron-Pretraining-Economics`	37,300
`n11logic`	`nvidia/Nemotron-Pretraining-Specialized-v1.1`	`Nemotron-Pretraining-Formal-Logic`	490,648
`n11mc`	`nvidia/Nemotron-Pretraining-Specialized-v1.1`	`Nemotron-Pretraining-Multiple-Choice`	60
`n11algo`	`nvidia/Nemotron-Pretraining-Specialized-v1.1`	`Nemotron-Pretraining-Unconditional-Algorithmic`	181,235
`n12facts`	`nvidia/Nemotron-Pretraining-Specialized-v1.2`	`Nemotron-Pretraining-Fact-Seeking`	27,100
`n12gen`	`nvidia/Nemotron-Pretraining-Specialized-v1.2`	`Nemotron-Pretraining-Generative`	60
`n12moral`	`nvidia/Nemotron-Pretraining-Specialized-v1.2`	`Nemotron-Pretraining-Moral-Scenarios`	39,017
`n12mc`	`nvidia/Nemotron-Pretraining-Specialized-v1.2`	`Nemotron-Pretraining-Multiple-Choice`	100
`behavscience`	`IFM/Pretrain-Behaviors`	`data-science`	13
`behavformat`	`IFM/Pretrain-Behaviors`	`format-rewrites`	40
`behavgames`	`IFM/Pretrain-Behaviors`	`games`	13
`behavgeneral`	`IFM/Pretrain-Behaviors`	`general`	14
`behavother`	`IFM/Pretrain-Behaviors`	`other`	18,100
`behavplanning`	`IFM/Pretrain-Behaviors`	`planning`	14
`behavreasoning`	`IFM/Pretrain-Behaviors`	`reasoning`	13
`bashcode`	`GunA-SD/bash_code`	`default`	342,717

Total: 16,372,319 rows across 23 subsets, stored in 345 Parquet shards.

Data format

Every subset has one text column of type string.
Split names use lowercase letters and digits only.
Large subsets are divided into numbered Parquet shards.
manifest.json records source datasets, source configs, row counts, shard paths, and import warnings.

Source coverage

This repository republishes the files present in CrowdMind/merged-text-splits with shorter split names. It does not reconstruct missing rows from the upstream datasets. The source manifest reports viewer rate limits, preview-only imports, and other coverage limits for some upstream subsets; consult manifest.json before treating a subset as complete relative to its upstream source.

Sources

The source datasets retain their own licenses and terms. Review them before use or redistribution.

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