ldbc / Text2GraphQuery-DataGen
Fine-Tuning Dataset Auto-Generation for Graph Query Languages.
Why this job: topics: awesome-list
What it does
Awesome-Text2GQL is an AI-assisted framework for Text2GQL dataset construction. The framework supports translation, generalization and generation of Text2GQL corpus and corresponding database instance. With the assistance of this framework, users are able to construct a high quality Text2GQL dataset on any graph query language(ISO-GQL, Cypher, Gremlin, SQL/PGQ, etc.) with a significantly lower cost than pure human labor annotation.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 104
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 97% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 42% closed
- 19 still open
- Pull requests
- 27 merged
- 2 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| Arindam200 / awesome-ai-apps | 16,731 | 4 days ago | MIT | No downloads |
| FRS2003 / hands-on-llm | 122 | 54 days ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 97%
- ANTLR 3%
- Shell <1%
- Java <1%
Topics
- awesome-list
- fine-tuning
- graphdb
- hacktoberfest
- llm
- peft
- sft
- text2gql
- text2sql
Project record
- JobLists and guides
- StatusListed
- Commits33
- Forks21
- Watching5
- Stars in 28 days0
- CreatedJul 3, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026