Datasets:

eja
/

wikilite

Languages:

Tags:

sqlite

wikipedia

wikilite

eja

License:

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Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 298, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 352, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 303, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Processed Wikipedia SQLite Databases for Wikilite

This dataset provides pre-processed SQLite databases of Wikipedia articles for use with the Wikilite tool. These databases allow you to quickly and efficiently search and access Wikipedia content offline using Wikilite's lexical and semantic search capabilities.

Supported Languages

Currently, the dataset includes databases for the following languages:

Sardinian (sc)
Italian (it)
Spanish (es)
English (en)

More languages may be added in the future.

Dataset Structure

Each language is stored as a separate compressed file (.db.gz) within the dataset. For example:

it.db.gz - Italian Wikipedia database
sc.db.gz - Sardinian Wikipedia database
es.db.gz - Spanish Wikipedia database
en.db.gz - English Wikipedia database

How to Use this Dataset

Download the Desired Database: Choose the database for the language you want to use and download the corresponding .db.gz file.
Decompress the Database: Use a tool like gunzip to decompress the downloaded file. For example, on Linux or macOS, you can run the following command in your terminal:
```
gunzip it.db.gz
```
This will create the decompressed database file (it.db in the example above).
Install Wikilite: Follow the instructions on the Wikilite github repo to clone the repository and build the binary, or download a precompiled binary for your OS from Wikilite Releases.
Run Wikilite: Navigate to the directory where you extracted the database and where you have the compiled wikilite binary. Use the wikilite command with the appropriate options. For example, to start the web interface for the Italian database, use:
```
./wikilite --db it.db --web
```
This will start a local web server allowing you to browse and search the Wikipedia content.

Command-line Usage: Alternatively, you can search the database directly from the command line:
```
./wikilite --db it.db --cli
```
Access the Web Interface: If you started the web server, open a web browser and navigate to http://localhost:35248 to access the web interface.

About Wikilite

Wikilite is a tool that provides offline access to Wikipedia content, featuring:

Fast and Flexible Lexical Searching: Uses FTS5 (Full-Text Search 5) for efficient keyword-based searching.
Enhanced Semantic Search: Integrates with Qdrant (optional) for semantic search capabilities, allowing you to find information based on meaning rather than just keywords.
Offline Access: Enables access to Wikipedia articles without an internet connection.
Command-Line Interface (CLI): Allows direct searching from the terminal.
Web Interface (Optional): Provides a user-friendly way to browse and search content.

Semantic Search Details

Wikilite leverages text embeddings for its optional semantic search. This allows you to find results even if your query does not match keywords directly, handling cases like:

Typos in your search query.
Different wordings to express the same concept.
The article uses synonyms or related terms.

Note: To enable semantic search, you'll need to have a running Qdrant instance and configure Wikilite accordingly. See the Wikilite GitHub repository for more details.

Contributing

If you would like to contribute databases for additional languages, please feel free to submit a pull request.

Acknowledgments

Wikipedia: For providing the valuable data.
SQLite: For the robust database engine.
Qdrant: For the high-performance vector database used in semantic search.
Wikilite: For making this project possible.

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