---
language:
  - ru
multilinguality:
  - monolingual
license: other
license_name: topicnet
license_link: >-
  https://github.com/machine-intelligence-laboratory/TopicNet/blob/master/LICENSE.txt
configs:
  - config_name: "bag-of-words"
    default: true
    data_files:
      - split: train
        path: "data/bow/postnauka.csv.gz"
  - config_name: "natural-order-of-words"
    data_files:
      - split: train
        path: "data/noow/postnauka.csv.gz"
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
---


# PostNauka

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 |   @title W |   @title len D |   @title len D uniq |   @2gramm W |   @2gramm len D |   @2gramm len D uniq |   @3gramm W |   @3gramm len D |   @3gramm len D uniq |   @snippet W |   @snippet len D |   @snippet len D uniq |   @word W |   @word len D |   @word len D uniq |   @post_tag W |   @post_tag len D |   @post_tag len D uniq |   @author W |   @author len D |   @author len D uniq |
|:------|------------:|------------------:|----------------------:|---------------------------:|-------------------:|-----------------------:|----------------------------:|-------------------:|-----------------------:|----------------------------:|--------------------:|------------------------:|-----------------------------:|-----------------:|---------------------:|--------------------------:|---------------------:|-------------------------:|------------------------------:|-------------------:|-----------------------:|----------------------------:|
| value |        3404 |             13546 |               3.97944 |                    3.98002 |             163289 |                47.9697 |                     37.0029 |               5848 |                1.71798 |                     1.30288 |               46033 |                 13.5232 |                      13.5256 |      1.43373e+06 |              421.189 |                    254.58 |                18031 |                    5.297 |                         5.297 |               3685 |                1.08255 |                     1.08255 |


The `@snippet` modality is a piece of raw text designed to display top documents.

Information about document lengths in modality tokens:


|      |   len_total@title |   len_total@2gramm |   len_total@3gramm |   len_total@snippet |   len_total@word |   len_total@post_tag |   len_total@author |   len_uniq@title |   len_uniq@2gramm |   len_uniq@3gramm |   len_uniq@snippet |   len_uniq@word |   len_uniq@post_tag |   len_uniq@author |
|:-----|------------------:|-------------------:|-------------------:|--------------------:|-----------------:|---------------------:|-------------------:|-----------------:|------------------:|------------------:|-------------------:|----------------:|--------------------:|------------------:|
| mean |           3.98002 |            47.9697 |            1.71798 |             13.5244 |          421.189 |              5.297   |           1.08255  |          3.98002 |           37.0029 |           1.30288 |           13.5256  |         254.58  |             5.297   |          1.08255  |
| std  |           2.21452 |            49.9748 |            3.07432 |              3.0559 |          482.422 |              2.01979 |           0.413483 |          2.21452 |           35.4885 |           1.81957 |            3.05377 |         249.288 |             2.01979 |          0.413483 |
| min  |           1       |             0      |            0       |              5      |            3     |              1       |           0        |          1       |            0      |           0       |            5       |           3     |             1       |          0        |
| 25%  |           2       |            15      |            0       |             12      |          106     |              4       |           1        |          2       |           13      |           0       |           12       |          80     |             4       |          1        |
| 50%  |           3.5     |            33      |            1       |             13      |          294     |              5       |           1        |          3.5     |           27      |           1       |           13       |         197     |             5       |          1        |
| 75%  |           5       |            67      |            2       |             15      |          563     |              6       |           1        |          5       |           52      |           2       |           15       |         343     |             6       |          1        |
| max  |          22       |           778      |           69       |             28      |         4892     |             18       |           4        |         22       |          444      |          27       |           28       |        2277     |            18       |          4        |


There exists a reference "gold-standard" topic model for 19 + 1 (background) topics. Information about topics is available for the [natural word order version of the dataset](https://huggingface.co/datasets/TopicNet/PostNauka/tree/main/data/noow). (At the same time, [bag-of-words dataset](https://huggingface.co/datasets/TopicNet/PostNauka/tree/main/data/bow) with `@snippet`-s includes the same documents as the dataset with a natural order of words, but under different names — and information about the correspondence of document names, alas, is lost 🙃)