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---
language:
- en
multilinguality:
- monolingual
license: other
license_name: topicnet
license_link: >-
https://github.com/machine-intelligence-laboratory/TopicNet/blob/master/LICENSE.txt
task_categories:
- text-classification
task_ids:
- topic-classification
- multi-class-classification
- multi-label-classification
tags:
- topic-modeling
- topic-modelling
- text-clustering
- multimodal-data
- multimodal-learning
- modalities
- document-representation
---
# Stanford Triplets
Some measurable characteristics of the dataset:
* D — number of documents
* <modality name> W — modality dictionary size (number of unique tokens)
* <modality name> len D — average document length in modality tokens (number of tokens)
* <modality name> len D uniq — average document length in unique modality tokens (number of unique tokens)
| | D | @word W | @word len D | @word len D uniq |
|:------|------------:|-----------------:|---------------------:|--------------------------:|
| value | 963564 | 3.55391e+09 | 3688.3 | 962.404 |
Information about document lengths in modality tokens:
| | len_total@word | len_uniq@word |
|:-----|-----------------:|----------------:|
| mean | 3688.3 | 962.404 |
| std | 3482.8 | 458.434 |
| min | 0 | 0 |
| 25% | 1791 | 665 |
| 50% | 2835 | 878 |
| 75% | 4608 | 1184 |
| max | 754814 | 17874 |
**Metadata**: There are triplets that can be used to measure quality.
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