Skip to main content
HfDatasetsResource mounts a Hugging Face Dataset repo at a prefix such as /ds/. All reads are lazy: only the bytes you actually cat/head get transferred. The TypeScript backend mirrors the Python one and returns identical results. For credential setup, see HF Datasets Setup.
Node only: the resource ships in @struktoai/mirage-node. It needs no native binding, though, because it speaks the Hub API over the runtime’s own fetch. The opendal binding belongs to HF Buckets, which is a different product.

Node

HfDatasetsResource takes repoId in namespace/dataset-name form plus an optional access token. Public datasets need no token.

Reading, not writing

This mount is read-only, the way a github mount is. A Hub write is a commit, and a POSIX write cannot say where a commit ends, so echo >, rm, cp and mv are refused here rather than silently making one commit per file. The hf CLI is the write half: hf download --local-dir puts a copy on a ram or disk mount, which is an ordinary writable filesystem, and hf upload sends it back as a single commit.

Filesystem Layout

Maps dataset repo files (README, parquet shards, etc.) to virtual paths under the mount prefix. Parquet shards stream lazily via byte-range reads.

Shell Commands

Every read command in HF Buckets’ set works here, as do the text processing and path utilities, which only read. What does not is the File Operations group: this mount is read-only, so rm and touch are refused, as is any command asked to write into it.