Dataset Viewer
The dataset viewer is not available for this subset.
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 "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
pa_table = paj.read_json(
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
)
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
~~~~~~~~~~~^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
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 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, 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.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
fal.ai Model Database
Complete catalog of 1,094 AI models from fal.ai with pricing, categories, and API documentation links.
Why This Dataset?
fal.ai hosts 1,094+ AI models across 25 categories, but there's no easy way to browse, compare, or search them programmatically. This dataset solves that.
Quick Stats
| Metric | Value |
|---|---|
| Total Models | 1,094 |
| Categories | 25 |
| Last Updated | January 2025 |
| Crawl Time | ~5 seconds |
Top Categories
| Category | Count |
|---|---|
| text-to-image | 386 |
| image-to-image | 217 |
| text-to-video | 78 |
| image-to-video | 72 |
| training | 61 |
| vision | 55 |
Data Fields
{
"model_id": "fal-ai/flux/dev",
"title": "FLUX.1 [dev]",
"category": "text-to-image",
"description": "FLUX.1 [dev] is a 12 billion parameter flow transformer...",
"api_docs": "https://fal.ai/models/fal-ai/flux/dev/api",
"pricing": "$0.025 per megapixel",
"tags": ["text-to-image", "flux"]
}
Usage
Python
import json
from datasets import load_dataset
# Load from Hugging Face
ds = load_dataset("PHY041/fal-ai-models")
# Or load JSON directly
with open("data/fal_models.json") as f:
models = json.load(f)
# Search for video generation models
video_models = [m for m in models.values() if "video" in m.get("category", "")]
With the Crawler (Fresh Data)
# Clone the companion repo for the crawler
# https://github.com/PHY041/fal-ai-model-database
from fal_models import refresh_models, search
# Re-crawl fal.ai for latest models
refresh_models()
# Search
results = search("flux")
Companion Resources
- GitHub (Data + Crawler): PHY041/fal-ai-model-database
- GitHub (MCP Server): PHY041/fal-ai-mcp-server - For Claude/AI assistant integration
- fal.ai: fal.ai/models - Official model gallery
How It Was Built
Instead of scraping HTML, we discovered fal.ai's internal API:
https://fal.ai/api/models?limit=500&categories={category}
Query all 25 categories = 1,094 unique models in ~5 seconds.
License
MIT - Use freely, attribution appreciated.
Citation
@misc{fal-ai-models-2025,
author = {Haoyang Pang},
title = {fal.ai Model Database},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/PHY041/fal-ai-models}
}
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