| ---
|
| pretty_name: Merged Text Splits Clean
|
| tags:
|
| - text
|
| - merged-splits
|
| configs:
|
| - config_name: default
|
| default: true
|
| data_files:
|
| - split: n1infinibyte
|
| path: data/n1infinibyte/*.parquet
|
| - split: n1math
|
| path: data/n1math/*.parquet
|
| - split: n1rqa
|
| path: data/n1rqa/*.parquet
|
| - split: n1stemsft
|
| path: data/n1stemsft/*.parquet
|
| - split: n1scicoding
|
| path: data/n1scicoding/*.parquet
|
| - split: n1wiki
|
| path: data/n1wiki/*.parquet
|
| - split: n11code
|
| path: data/n11code/*.parquet
|
| - split: n11econ
|
| path: data/n11econ/*.parquet
|
| - split: n11logic
|
| path: data/n11logic/*.parquet
|
| - split: n11mc
|
| path: data/n11mc/*.parquet
|
| - split: n11algo
|
| path: data/n11algo/*.parquet
|
| - split: n12facts
|
| path: data/n12facts/*.parquet
|
| - split: n12gen
|
| path: data/n12gen/*.parquet
|
| - split: n12moral
|
| path: data/n12moral/*.parquet
|
| - split: n12mc
|
| path: data/n12mc/*.parquet
|
| - split: behavscience
|
| path: data/behavscience/*.parquet
|
| - split: behavformat
|
| path: data/behavformat/*.parquet
|
| - split: behavgames
|
| path: data/behavgames/*.parquet
|
| - split: behavgeneral
|
| path: data/behavgeneral/*.parquet
|
| - split: behavother
|
| path: data/behavother/*.parquet
|
| - split: behavplanning
|
| path: data/behavplanning/*.parquet
|
| - split: behavreasoning
|
| path: data/behavreasoning/*.parquet
|
| - split: bashcode
|
| path: data/bashcode/*.parquet
|
| dataset_info:
|
| features:
|
| - name: text
|
| dtype: string
|
| splits:
|
| - name: n1infinibyte
|
| num_examples: 10300
|
| - name: n1math
|
| num_examples: 24
|
| - name: n1rqa
|
| num_examples: 13
|
| - name: n1stemsft
|
| num_examples: 27
|
| - name: n1scicoding
|
| num_examples: 39
|
| - name: n1wiki
|
| num_examples: 63
|
| - name: n11code
|
| num_examples: 15225409
|
| - name: n11econ
|
| num_examples: 37300
|
| - name: n11logic
|
| num_examples: 490648
|
| - name: n11mc
|
| num_examples: 60
|
| - name: n11algo
|
| num_examples: 181235
|
| - name: n12facts
|
| num_examples: 27100
|
| - name: n12gen
|
| num_examples: 60
|
| - name: n12moral
|
| num_examples: 39017
|
| - name: n12mc
|
| num_examples: 100
|
| - name: behavscience
|
| num_examples: 13
|
| - name: behavformat
|
| num_examples: 40
|
| - name: behavgames
|
| num_examples: 13
|
| - name: behavgeneral
|
| num_examples: 14
|
| - name: behavother
|
| num_examples: 18100
|
| - name: behavplanning
|
| num_examples: 14
|
| - name: behavreasoning
|
| num_examples: 13
|
| - name: bashcode
|
| num_examples: 342717
|
| ---
|
|
|
| # 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
|
|
|
| ```python
|
| 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`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1) | `Nemotron-Pretraining-InfiniByte-Reasoning` | 10,300 |
|
| | `n1math` | [`nvidia/Nemotron-Pretraining-Specialized-v1`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1) | `Nemotron-Pretraining-Math-Textbooks` | 24 |
|
| | `n1rqa` | [`nvidia/Nemotron-Pretraining-Specialized-v1`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1) | `Nemotron-Pretraining-RQA` | 13 |
|
| | `n1stemsft` | [`nvidia/Nemotron-Pretraining-Specialized-v1`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1) | `Nemotron-Pretraining-STEM-SFT` | 27 |
|
| | `n1scicoding` | [`nvidia/Nemotron-Pretraining-Specialized-v1`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1) | `Nemotron-Pretraining-Scientific-Coding` | 39 |
|
| | `n1wiki` | [`nvidia/Nemotron-Pretraining-Specialized-v1`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1) | `Nemotron-Pretraining-Wiki-Rewrite` | 63 |
|
| | `n11code` | [`nvidia/Nemotron-Pretraining-Specialized-v1.1`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1.1) | `Nemotron-Pretraining-Code-Concepts` | 15,225,409 |
|
| | `n11econ` | [`nvidia/Nemotron-Pretraining-Specialized-v1.1`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1.1) | `Nemotron-Pretraining-Economics` | 37,300 |
|
| | `n11logic` | [`nvidia/Nemotron-Pretraining-Specialized-v1.1`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1.1) | `Nemotron-Pretraining-Formal-Logic` | 490,648 |
|
| | `n11mc` | [`nvidia/Nemotron-Pretraining-Specialized-v1.1`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1.1) | `Nemotron-Pretraining-Multiple-Choice` | 60 |
|
| | `n11algo` | [`nvidia/Nemotron-Pretraining-Specialized-v1.1`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1.1) | `Nemotron-Pretraining-Unconditional-Algorithmic` | 181,235 |
|
| | `n12facts` | [`nvidia/Nemotron-Pretraining-Specialized-v1.2`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1.2) | `Nemotron-Pretraining-Fact-Seeking` | 27,100 |
|
| | `n12gen` | [`nvidia/Nemotron-Pretraining-Specialized-v1.2`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1.2) | `Nemotron-Pretraining-Generative` | 60 |
|
| | `n12moral` | [`nvidia/Nemotron-Pretraining-Specialized-v1.2`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1.2) | `Nemotron-Pretraining-Moral-Scenarios` | 39,017 |
|
| | `n12mc` | [`nvidia/Nemotron-Pretraining-Specialized-v1.2`](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1.2) | `Nemotron-Pretraining-Multiple-Choice` | 100 |
|
| | `behavscience` | [`IFM/Pretrain-Behaviors`](https://huggingface.co/datasets/IFM/Pretrain-Behaviors) | `data-science` | 13 |
|
| | `behavformat` | [`IFM/Pretrain-Behaviors`](https://huggingface.co/datasets/IFM/Pretrain-Behaviors) | `format-rewrites` | 40 |
|
| | `behavgames` | [`IFM/Pretrain-Behaviors`](https://huggingface.co/datasets/IFM/Pretrain-Behaviors) | `games` | 13 |
|
| | `behavgeneral` | [`IFM/Pretrain-Behaviors`](https://huggingface.co/datasets/IFM/Pretrain-Behaviors) | `general` | 14 |
|
| | `behavother` | [`IFM/Pretrain-Behaviors`](https://huggingface.co/datasets/IFM/Pretrain-Behaviors) | `other` | 18,100 |
|
| | `behavplanning` | [`IFM/Pretrain-Behaviors`](https://huggingface.co/datasets/IFM/Pretrain-Behaviors) | `planning` | 14 |
|
| | `behavreasoning` | [`IFM/Pretrain-Behaviors`](https://huggingface.co/datasets/IFM/Pretrain-Behaviors) | `reasoning` | 13 |
|
| | `bashcode` | [`GunA-SD/bash_code`](https://huggingface.co/datasets/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`](https://huggingface.co/datasets/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
|
|
|
| - [nvidia/Nemotron-Pretraining-Specialized-v1](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1)
|
| - [nvidia/Nemotron-Pretraining-Specialized-v1.1](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1.1)
|
| - [nvidia/Nemotron-Pretraining-Specialized-v1.2](https://huggingface.co/datasets/nvidia/Nemotron-Pretraining-Specialized-v1.2)
|
| - [IFM/Pretrain-Behaviors](https://huggingface.co/datasets/IFM/Pretrain-Behaviors)
|
| - [GunA-SD/bash_code](https://huggingface.co/datasets/GunA-SD/bash_code)
|
|
|
| The source datasets retain their own licenses and terms. Review them before use or redistribution.
|
|
|
