---
title: hrm-text-rsi-sampled-20260923
canonical_url: "https://www.modelscope.cn/datasets/sapientinc/hrm-text-rsi-sampled-20260923"
md_url: "https://www.modelscope.cn/datasets/sapientinc/hrm-text-rsi-sampled-20260923.md"
repository: sapientinc/hrm-text-rsi-sampled-20260923
last_updated: 2026-09-24
license: other
storage_size: "86 GB"
downloads: 67
stars: 0
---

# hrm-text-rsi-sampled-20260923

> hrm-text-rsi-sampled-20260923 - sapientinc 在 ModelScope 开源的数据集。HRM-Text sampled pretraining data

sapientinc/hrm-text-rsi-sampled-20260923 是 ModelScope 魔搭社区上的数据集，存储大小 86 GB，采用 other 许可。

- **Repository**: sapientinc/hrm-text-rsi-sampled-20260923
- **License**: other
- **Storage size**: 86 GB
- **Downloads**: 67
- **Stars**: 0
- **Last updated**: 2026-09-24

Source: https://www.modelscope.cn/datasets/sapientinc/hrm-text-rsi-sampled-20260923

---

# HRM-Text sampled pretraining data

A fixed four-epoch dataset for HRM-Text PrefixLM pretraining, with a shared
compact token array and the tokenizer needed to read it.

## Contents

- `sampled/tokens.npy`: a memory-mappable `uint16` token array.
- `sampled/epoch_0` through `sampled/epoch_3`: instruction and response start
  offsets and lengths, stored as NumPy arrays.
- `sampled/metadata.json`: the context limit, epoch length and tokenizer settings.
- `tokenizer/`: the frozen 65,536-token BPE tokenizer.

Each epoch contains 58,877,637 sampled rows. The shared token array contains
42,595,442,478 tokens. The model context is 4096 tokens; the data context bound
is 4097 to include the autoregressive shift.

## Download

The complete download is approximately 93 GB.

```python
from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="sapientinc/hrm-text-rsi-sampled-20260923",
    repo_type="dataset",
    local_dir="hrm-text-data",
)
```

Use an authorized Hugging Face login if authentication is required.

## Use

Use `epoch_0` for one epoch, the first two index sets for two epochs, and all
four index sets for four epochs. Reuse these fixed index sets without
resampling. Later epochs can include additional documents.

Load the arrays with the HRM-Text PrefixLM data loader and the included
tokenizer. The runtime metadata uses `/datasets/hrm-text/tokenizer` as its
container tokenizer location; applications using a different layout can
configure the tokenizer location locally.

This repository contains training data and a tokenizer. Pretrained model
weights and evaluation artifacts are not included.