| ---
|
| license: other
|
| license_name: mixed-see-index
|
| pretty_name: multimod data bank
|
| viewer: false
|
| ---
|
|
|
| # multimod data bank
|
|
|
| An index of curated source datasets. Each SOURCE is its own
|
| dataset repo, because a dataset card carries one `license:` and
|
| these sources do not share one.
|
|
|
| | source | repo | licence | contents | size |
|
| |---|---|---|---|---|
|
| | US Input-Output Accounts (BEA) | [`OptimalSolution/databank-bea-io`](https://huggingface.co/datasets/OptimalSolution/databank-bea-io) | public-domain | 6 datasets | 1 MB |
|
| | Ember | [`OptimalSolution/databank-ember`](https://huggingface.co/datasets/OptimalSolution/databank-ember) | CC-BY-4.0 | 19 datasets | 27 MB |
|
| | FIGARO | [`OptimalSolution/databank-figaro`](https://huggingface.co/datasets/OptimalSolution/databank-figaro) | CC-BY-4.0 | 27 datasets | 862 MB |
|
| | Natural Earth | [`OptimalSolution/databank-basemaps`](https://huggingface.co/datasets/OptimalSolution/databank-basemaps) | public-domain | 2 layers, 4 resolutions | 41 MB |
|
|
|
| ## Fetching, not browsing
|
|
|
| These repos are built to be QUERIED, not downloaded. The files are
|
| parquet and Hugging Face serves HTTP range requests, so a client reads
|
| the footer, picks the row groups it needs and pulls only those column
|
| chunks. Measured on an 11.8 MB partition of a 165.9M-row table:
|
| **0.85 MB fetched, 7% of the file**, for a real slice.
|
|
|
| `index.json` is what makes that possible without a directory listing.
|
| It carries every source, dataset and layer with its licence, coverage,
|
| size, column list, partition key, manifest hash and **the relative
|
| path of every file** -- so a URL can be constructed rather than
|
| discovered. It is generated from the manifests and never hand-edited.
|
|
|
| ```r
|
| library(duckdb); library(jsonlite)
|
| idx <- fromJSON(paste0(hub, "/resolve/main/index.json"),
|
| simplifyVector = FALSE)
|
| # pick a source and dataset, then one entry from its `files` list
|
| con <- dbConnect(duckdb())
|
| dbExecute(con, "INSTALL httpfs; LOAD httpfs;")
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| dbGetQuery(con, sql) # read_parquet(url) over HTTP, no download
|
| ```
|
|
|
| ```python
|
| import duckdb
|
| duckdb.sql("INSTALL httpfs; LOAD httpfs;")
|
| duckdb.sql(f"SELECT industry, sum(value) FROM '{url}' GROUP BY 1").df()
|
| ```
|
|
|
| The dataset viewer works too, but it is a preview: splits are named
|
| `train` because that is Hugging Face's default for a dataset with no
|
| train/test division, not because any of this is training data.
|
|
|
