flocky
flocky makes participating in Flock.io easy!
NOTE: This project is not officially affiliated with Flock.io. This
package is maintained by a participant of the Flock.io community. While
I strive for correctness, I cannot guarantee that this package is
bug-free. Always verify your own implementation, especially when using
flocky in production.
Installation
pip install flocky
Quickstart
Get specific task
Data can be retrieved as JSON or a Pandas DataFrame.
from flocky.api import get_task
get_task(7, as_df=False)
{'title': 'FLock x OneKey: Advancing AI-Driven Smart Contract Security',
'description': 'FLock and OneKey are collaborating to launch the first AI-driven smart contract security challenge, combining FLock’s decentralized model training with OneKey’s expertise in blockchain security. By training AI on real-world vulnerabilities and security Q&A data, we aim to build a benchmark dataset and develop models capable of detecting and mitigating risks at scale. Top contributors will be rewarded with OneKey Hardware Wallet - FLock Limited Edition',
'task_type': 'training',
'data': {'training_set_url': 'https://fed-ledger-prod-dataset.s3.amazonaws.com/7/training_set.jsonl?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASSFQ745NLT5K57N2%2F20250401%2Fus-east-2%2Fs3%2Faws4_request&X-Amz-Date=20250401T153446Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=fc9d7016681513e23a87fe9c30e5e7139ee53b76e3a8ef78a3cd02248d75494c',
'max_params': 15000000000,
'context_length': 8192},
'duration_in_seconds': 2419200,
'id': 7,
'status': 'submission_phase',
'initialized_at': '2025-03-26T16:22:01.791348',
'submission_phase_ends_at': '2025-04-23T23:59:59.791348',
'final_validation_ends_at': '2025-04-28T23:59:59.791348',
'final_link': None}
get_task(7, as_df=True)
| title | description | task_type | duration_in_seconds | id | status | initialized_at | submission_phase_ends_at | final_validation_ends_at | final_link | data_training_set_url | data_max_params | data_context_length | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | FLock x OneKey: Advancing AI-Driven Smart Cont... | FLock and OneKey are collaborating to launch t... | training | 2419200 | 7 | submission_phase | 2025-03-26T16:22:01.791348 | 2025-04-23T23:59:59.791348 | 2025-04-28T23:59:59.791348 | None | https://fed-ledger-prod-dataset.s3.amazonaws.c... | 15000000000 | 8192 |
Get open tasks
from flocky.api import open_tasks
tasks = open_tasks(as_df=True)
tasks
| title | description | task_type | duration_in_seconds | id | status | initialized_at | submission_phase_ends_at | final_validation_ends_at | data_recommended_vram | data_dataset_s3_key | data_max_params | data_context_length | data_training_set_key | data_validation_set_key | data_final_validation_set_key | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | FLock x OneKey: Advancing AI-Driven Smart Cont... | FLock and OneKey are collaborating to launch t... | training | 2419200 | 7 | submission_phase | 2025-03-26T16:22:01.791348 | 2025-04-23T23:59:59.791348 | 2025-04-28T23:59:59.791348 | 48GB | onekey-security/combined.jsonl | 15000000000 | 8192 | 7/training_set.jsonl | 7/validation_set.jsonl | 7/final_validation_set.jsonl |
Get submission scores
from flocky.api import get_subs
scores = get_subs(7, as_df=True)
scores
| link | submission_phase_score | final_validation_score | submitted_at | |
|---|---|---|---|---|
| 0 | https://huggingface.co/clepelaars/task-7-Qwen-... | None | None | 2025-03-28T12:45:21.402671 |
Upload to HuggingFace
This function will upload the contents of the outputs directory to the
HuggingFace Hub with a given repo name. This require you to have set
HF_TOKEN in your environment variables.
from flocky.api import upload_to_hf
# upload_to_hf("clepelaars/flocky-test", output_dir="outputs")
Contributing to Flocky
If you would like to contribute to Flocky, first of all thank you for considering this! To get started feel free to create a Github issue so we can discuss the contribution.
Please read the contribution guidelines before submitting pull requests (PRs).
Metadata
Release files for flocky 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| flocky-0.0.2.tar.gz | 12.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| flocky-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.7 kB
Release files / flocky-0.0.2.tar.gz
| Download URL | flocky-0.0.2.tar.gz |
|---|---|
| Size | 12.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
3aa168b5f57e94f38ca44b74ecf01e966963fcdc62636bea374505915da85d34
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.0
|
Release files / flocky-0.0.2-py3-none-any.whl
| Download URL | flocky-0.0.2-py3-none-any.whl |
|---|---|
| Size | 11.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
f9721e12d697235a9322409c1337ce93f627f83d0d4a3edef10924e9e38e86df
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.0
|