huggingface.datasets_by_author

stable Advanced

Datasets published by a Hugging Face user or organisation.

GET /v1/huggingface/datasets_by_author

What you get#

A list of Huggingface results in Onekey's unified shape, in data (an array). An empty array is a normal, successful answer and is charged like any other; a source that reports "nothing found" as an error returns a free 404 not_found instead.

What it costs#

Advanced · 5 credits for a fresh fetch, charged only when it succeeds.
Free when served from cache (0.2 credit for a cached response over 100 KB).
Free if the request is invalid (never charged) or the source fails or reports not found (refunded).

Parameters#

Name	Type	Required	Default	What it is	Constraints
`author`	string	yes	(required)	Hub user or organisation name	max 96 chars; must match `[A-Za-z0-9][A-Za-z0-9._-]{0,95}`; trimmed

Request#

curl "https://api.onekey.dev/v1/huggingface/datasets_by_author?author=google" \
  -H "x-api-key: YOUR_API_KEY"

Try it

Add your key to run this call right here. No key? Get one free. The key stays in this tab.

Recorded response#

A real Huggingface response, recorded and returned in Onekey's shape. Fields the platform does not provide are null.

json

{
  "success": true,
  "data": [
    {
      "entity": {
        "id": "google/fleurs",
        "stats": {
          "downloads": 102760
        },
        "updatedAt": "2026-05-15T09:35:34Z",
        "createdAt": "2022-04-19T10:25:58Z",
        "tags": [
          "task_categories:automatic-speech-recognition",
          "annotations_creators:expert-generated",
          "annotations_creators:crowdsourced"
        ],
        "description": "FLEURS Fleurs is the speech version of the FLoRes machine translation benchmark. We use 2009 n-way parallel sentences from the FLoRes dev and devtest publicly available sets, in 102 languages. Training sets have around 10 hours of supervision. Speakers of the train sets are different than speakers from the dev/test sets. Multilingual fine-tuning is used and ”unit error rate” (characters, signs) of all languages is averaged. Languages and results are also grouped into seven… See the full description on the dataset page: https://huggingface.co/datasets/google/fleurs."
      },
      "author": {
        "username": "google"
      },
      "engagement": {
        "likes": 472
      }
    },
    {
      "entity": {
        "id": "google/WaxalNLP",
        "stats": {
          "downloads": 8142
        },
        "updatedAt": "2026-09-01T16:15:42Z",
        "createdAt": "2026-01-19T12:35:52Z",
        "tags": [
          "task_categories:automatic-speech-recognition",
          "task_categories:text-to-speech",
          "language_creators:creator_1"
        ],
        "description": "Waxal Datasets The WAXAL dataset is a large-scale multilingual speech corpus for African languages, introduced in the paper WAXAL: A Large-Scale Multilingual African Language Speech Corpus. Dataset Description The Waxal project provides datasets for both Automated Speech Recognition (ASR) and Text-to-Speech (TTS) for African languages. The goal of this dataset's creation and release is to facilitate research that improves the accuracy and fluency of speech and… See the full description on the dataset page: https://huggingface.co/datasets/google/WaxalNLP."
      },
      "author": {
        "username": "google"
      },
      "engagement": {
        "likes": 286
      }
    }
  ],
  "metadata": {
    "platform": "huggingface",
    "endpoint": "datasets_by_author",
    "cached": false,
    "stale": false,
    "age_s": 0,
    "fetched_at": "2026-01-01T12:00:00+00:00",
    "credits_charged": 5,
    "request_id": "7f3a9c2e5b1d4c8fa2e6d0b9c4f18e37"
  },
  "error": null
}

Field mapping#

How this endpoint's source fields become Onekey's unified schema. Fields the source lacks come back as null.

Source path	Onekey field	Transform
`id`	`entity.id`	-
`author`	`author.username`	-
`downloads`	`entity.stats.downloads`	`toNumber`
`likes`	`engagement.likes`	`toNumber`
`lastModified`	`entity.updatedAt`	`toIsoDate`
`createdAt`	`entity.createdAt`	`toIsoDate`
`tags`	`entity.tags`	-
`description`	`entity.description`	`stripHtml`

Caching and freshness#

Fresh for about 2 minutes. Repeat calls in that window are served from cache and are free.
Between 2 minutes and 15 minutes the cached copy is still served instantly and marked stale: true while Onekey refreshes it in the background.
If the source is down when a refresh is needed, the last copy can be served for up to 1 hour more (marked stale).
A "not found" is remembered for 1 minute and is free.
The cache is shared across all customers, which is what keeps repeat calls cheap.

What can go wrong#

Status	Code	What to do
401	`unauthorized`	Check the `x-api-key` header.
402	`insufficient_credits`	Add credits; your balance must cover the price.
404	`not_found`	Unknown endpoint path.
422	`invalid_params`	Fix the parameters using the table above. Free.
429	`rate_limited`	Wait `Retry-After` seconds, then retry.
502	`upstream_error`	The source failed. Refunded; retry with backoff.

See Errors for the full list and retry guidance.

Status: stable (verified against the live source).