# Web (w6a)

[Browse datasets](<../../>) 

`libsvm:w6a@1` · Registry `1.4.0`. Default version in this registry. 

The w6a binary classification variant of the Web dataset, distributed by LIBSVM with predefined training and test artifacts and 300 sparse features. 

<a id="dimensions-and-tasks"></a>

## Dimensions and tasks

| Task | Type | Split | Samples | Predictors |
| --- | --- | --- | --- | --- |
| default | classification | test | 32,561 | 300 |
| default | classification | train | 17,188 | 300 |

Predictor counts follow each task's feature selection and exclude targets and identifiers. Sample counts are reported separately for each split. 

<a id="retrieve"></a>

## Retrieve

These examples pin both the dataset version and the registry's exact index. An uncached dataset requires network access to its source. The CLI retrieves verified artifacts. The language clients also decode them. 

<a id="python"></a>

### Python

```python
from datamonger import Registry, fetch_data

registry = Registry(
    release="1.4.0",
    index_sha256="ef83679266af9fcbb9ea194acdfb9bb6c380b440a574fc2ee7292899c5102909",
    index_url="https://github.com/jolars/datamonger/releases/download/registry-v1.4.0/index.json",
)
data = fetch_data("libsvm:w6a@1", registry=registry)
```

<a id="r"></a>

### R

```r
library(datamonger)

registry <- registry_selector(
  release = "1.4.0",
  index_sha256 = "ef83679266af9fcbb9ea194acdfb9bb6c380b440a574fc2ee7292899c5102909",
  index_url = "https://github.com/jolars/datamonger/releases/download/registry-v1.4.0/index.json"
)
data <- fetch_data("libsvm:w6a@1", registry = registry)
```

<a id="julia"></a>

### Julia

```julia
using Datamonger

registry = registry_selector(
    "1.4.0",
    "ef83679266af9fcbb9ea194acdfb9bb6c380b440a574fc2ee7292899c5102909",
    "https://github.com/jolars/datamonger/releases/download/registry-v1.4.0/index.json",
)
data = fetch_data("libsvm:w6a@1"; registry=registry)
```

<a id="cli"></a>

### CLI

```sh
cat > datamonger-registry.json <<'JSON'
{
  "index_sha256": "ef83679266af9fcbb9ea194acdfb9bb6c380b440a574fc2ee7292899c5102909",
  "index_url": "https://github.com/jolars/datamonger/releases/download/registry-v1.4.0/index.json",
  "release": "1.4.0",
  "schema_version": 1
}
JSON
datamonger --selector datamonger-registry.json fetch 'libsvm:w6a@1'
```

<a id="representation-and-variables"></a>

## Representation and variables

Tabular data with a sparse representation. Decoder: `libsvm-split` version 1. 

| Component | Kind | Type | Shape |
| --- | --- | --- | --- |
| train\_features | sparse\_matrix | float64 | 17,188 × 300 |
| train\_response | vector | int64 | 17,188 |
| test\_features | sparse\_matrix | float64 | 32,561 × 300 |
| test\_response | vector | int64 | 32,561 |

<a id="preprocessing"></a>

## Preprocessing

<a id="upstream"></a>

### Upstream

Status: unknown. 

LIBSVM documents the feature count and training and test sizes but does not describe feature construction, sample selection, or the split selection procedure for these artifacts. 

Evidence: [https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html\#w6a](<https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#w6a>), [https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/ref.html\#JP98a](<https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/ref.html#JP98a>) 

<a id="datamonger"></a>

### Datamonger

Status: none. 

Datamonger decodes the provider artifacts without additional statistical preprocessing. 

Evidence: spec/decoders/libsvm-v1.md 

<a id="provenance-and-citation"></a>

## Provenance and citation

Provider: LIBSVM. Upstream name: w6a. Retrieved: 2026-10-26. 

[Original source](<https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#w6a>) 

Authors: John C. Platt. 

John C. Platt. Fast training of support vector machines using sequential minimal optimization. In Advances in Kernel Methods - Support Vector Learning. MIT Press, 1998. 

Reference JP98a associated with this variant by LIBSVM: [https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/ref.html\#JP98a](<https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/ref.html#JP98a>). 

<a id="license"></a>

## License

Unknown 

The LIBSVM dataset page identifies Platt's JP98a reference as the source but states no license terms for these artifacts: [https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html\#w6a](<https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#w6a>). The LIBSVM software license does not establish a license for the distributed dataset. 

<a id="artifacts"></a>

## Artifacts

Total download: 3.3 MiB. Sizes describe the distributed files, including any compression. 

| Artifact | Format | Compression | Size | Distribution | Preservation |
| --- | --- | --- | --- | --- | --- |
| train | libsvm | none | 1.1 MiB | upstream-only | unknown |
| test | libsvm | none | 2.2 MiB | upstream-only | unknown |

[train: upstream](<https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/w6a>) 

[test: upstream](<https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/w6a.t>) 

<a id="versions-in-this-registry"></a>

## Versions in this registry

[1](<1>) (default) 

<a id="registry-record"></a>

## Registry record

Download the [complete registry record](<../../../assets/b639ca91990236d8fe53ee2715034d8fe9dc54b4bfc055901d81123e0c8780ad.bin>), [registry selector](<../../../assets/34c66958a7fbdc23b69bacece50c1f1e9a097760400133967cecb6086963cdb1.bin>), or [full registry index](<https://github.com/jolars/datamonger/releases/download/registry-v1.4.0/index.json>). 

Index SHA-256: `ef83679266af9fcbb9ea194acdfb9bb6c380b440a574fc2ee7292899c5102909`.