| --- |
| language: en |
| tags: |
| - huggingface-hub |
| - leaderboard |
| - ecosystem |
| - landscape |
| --- |
| |
| # 🗺️ HF Landscape Study Data |
|
|
| Parquet crawl data powering [HF Landscape](https://huggingface.co/spaces/ranjithraj/hf-landscape) — a leaderboard and ecosystem stats dashboard for the [Hugging Face Hub](https://huggingface.co). |
|
|
| ## What's Inside |
|
|
| Six Parquet files covering the full Hub at crawl time, generated from a DuckDB database: |
|
|
| | File | Records | Description | |
| | ---------------------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------- | |
| | `models.parquet` | ~2.9M | Every model: downloads (30d + all-time), likes, task, library, params, license, language, country, entity type, trending score, modality, size bucket | |
| | `datasets.parquet` | ~955K | Every dataset: downloads, likes, trending score, task categories, license, country, entity type | |
| | `spaces.parquet` | ~1.4M | Every space: likes, trending score, SDK, country, entity type | |
| | `collections.parquet` | ~217K | Every collection: upvotes, item count, country, entity type | |
| | `entities.parquet` | ~1.4M | Per-entity aggregation: one row per author with rolled-up counts across all repo types | |
| | `entities_all.parquet` | ~5.5M | All repos (models + datasets + spaces + collections) in one file, with a `repo_type` field to filter by type | |
|
|
| ## Schema |
|
|
| ### models.parquet |
|
|
| | Field | Type | Description | |
| | -------------- | -------------- | ------------------------------------------------------------------------------------------------------------------ | |
| | `id` | string | Repo ID (`org/name`) | |
| | `author` | string | Organization or user | |
| | `dl30` | double | Rolling 30-day downloads | |
| | `dlAll` | double | All-time downloads | |
| | `likes` | double | Total likes | |
| | `task` | string? | Pipeline tag (e.g. `text-generation`) | |
| | `params` | double? | Parameter count (from safetensors metadata) | |
| | `langs` | list\<string\> | Language tags | |
| | `createdAt` | timestamp | Creation timestamp | |
| | `license` | string? | License identifier | |
| | `baseModel` | string? | Base model name | |
| | `baseRelation` | string? | Relation to base (`quantized`, `adapter`, `finetune`, …) | |
| | `library` | string? | Framework (e.g. `transformers`) | |
| | `lastModified` | timestamp | Last commit timestamp | |
| | `gated` | string? | Whether the repo is gated | |
| | `trending` | double | Trending score | |
| | `modality` | string? | Input modality (`nlp`, `cv`, `multimodal`, `audio`, …) | |
| | `sizeBucket` | string? | Parameter count bucket (`<5M`, `5M–100M`, `100M–500M`, `0.5B–1B`, `1B–5B`, `5B–15B`, `15B–70B`, `70B+`, `unknown`) | |
| | `country` | string | Country code from hand-annotated entity map (`-` = unmapped) | |
| | `entityType` | string | `company`, `community`, `individual`, or `unknown` | |
|
|
| ### datasets.parquet |
|
|
| | Field | Type | Description | |
| | ---------------- | -------------- | ------------------------ | |
| | `id` | string | Repo ID | |
| | `author` | string | Owner | |
| | `dl30` | double | Rolling 30-day downloads | |
| | `dlAll` | double | All-time downloads | |
| | `likes` | double | Total likes | |
| | `trending` | double | Trending score | |
| | `taskCategories` | list\<string\> | Task categories | |
| | `license` | string? | License identifier | |
| | `createdAt` | timestamp | Creation timestamp | |
| | `country` | string | Country code | |
| | `entityType` | string | Entity type | |
|
|
| ### spaces.parquet |
|
|
| | Field | Type | Description | |
| | ------------ | --------- | -------------------------------------------------------- | |
| | `id` | string | Repo ID | |
| | `author` | string | Owner | |
| | `likes` | double | Total likes | |
| | `trending` | double | Trending score | |
| | `sdk` | string? | Space SDK (`docker`, `static`, `gradio`, `streamlit`, …) | |
| | `createdAt` | timestamp | Creation timestamp | |
| | `country` | string | Country code | |
| | `entityType` | string | Entity type | |
|
|
| ### collections.parquet |
|
|
| | Field | Type | Description | |
| | ------------- | --------- | --------------------- | |
| | `slug` | string | Collection slug | |
| | `owner` | string | Owner username | |
| | `title` | string | Collection title | |
| | `upvotes` | double | Total upvotes | |
| | `itemCount` | double | Number of items | |
| | `lastUpdated` | timestamp | Last update timestamp | |
| | `country` | string | Country code | |
| | `entityType` | string | Entity type | |
|
|
| ### entities.parquet |
|
|
| Per-entity aggregation — one row per author with rolled-up stats across all repo types. |
|
|
| | Field | Type | Description | |
| | -------------------- | ------ | ----------------------------------------- | |
| | `name` | string | Author / org name | |
| | `country` | string | Country code | |
| | `type` | string | Entity type | |
| | `models` | int | Number of models | |
| | `datasets` | int | Number of datasets | |
| | `spaces` | int | Number of spaces | |
| | `collections` | int | Number of collections | |
| | `downloads_all_time` | double | Total all-time downloads across all repos | |
| | `downloads_30d` | double | Total 30-day downloads across all repos | |
| | `likes` | double | Total likes across all repos | |
| | `upvotes` | double | Total collection upvotes | |
|
|
| ### entities_all.parquet |
| |
| All repos in one file. Each record carries the full fields of its source type plus a `repo_type` discriminator. |
|
|
| | Field | Type | Description | |
| | ------------------------------------------------------ | ------ | -------------------------------------------- | |
| | `repo_type` | string | `model`, `dataset`, `space`, or `collection` | |
| | _(+ all fields from the matching source schema above)_ | | | |
|
|
| ## Country Attribution |
|
|
| Country and entity type are from a hand-maintained map ([`data/spotlight.json`](https://github.com/ranjithraj/hf-landscape/blob/main/data/spotlight.json)) applied at crawl time. The Hub API exposes no location field, so attribution is inferred from public signals — not a verified fact. Only ~1,200 mapped entities carry a country; the rest are `-` (unknown). |
|
|
| ## Usage |
|
|
| With [Polars](https://pola.rs/) (recommended): |
|
|
| ```python |
| import polars as pl |
| |
| df = pl.read_parquet("models.parquet") |
| top = df.sort("dl30", descending=True).head(10).select("id", "dl30", "dlAll", "likes") |
| print(top) |
| ``` |
|
|
| Filter entities by type: |
|
|
| ```python |
| import polars as pl |
| |
| df = pl.read_parquet("entities_all.parquet") |
| datasets = df.filter(pl.col("repo_type") == "dataset") |
| print(datasets.sort("dlAll", descending=True).head(10).select("id", "author", "dlAll")) |
| ``` |
|
|
| Query list columns (e.g. find models with a specific language): |
|
|
| ```python |
| import polars as pl |
| |
| df = pl.read_parquet("models.parquet") |
| hindi = df.filter(pl.col("langs").list.contains("en")) |
| print(f"English models: {len(hindi):,}") |
| ``` |
|
|
| With [DuckDB](https://duckdb.org/): |
|
|
| ```python |
| import duckdb |
| |
| con = duckdb.connect() |
| df = con.execute("SELECT * FROM 'models.parquet' WHERE task = 'text-generation' LIMIT 10").fetchdf() |
| print(df) |
| ``` |
|
|
| ## Regeneration |
|
|
| Data is crawled weekly from the Hugging Face Hub API and exported as Parquet via the [HF Landscape CLI](https://github.com/ranjithraj/hf-landscape): |
|
|
| ```bash |
| npm link # install hf-study CLI |
| hf-study # full crawl + aggregation |
| npm run db:build # export Parquet files |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @dataset{hf_landscape_2026, |
| title = {HF Landscape Study Data}, |
| author = {Ranjith Raj}, |
| year = {2026}, |
| url = {https://huggingface.co/datasets/ranjithraj/hf-landscape-study-data} |
| } |
| ``` |
|
|
