Datasets:

lance-format
/

food101-lance

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
                  response.raise_for_status()
                File "/usr/local/lib/python3.12/site-packages/requests/models.py", line 1026, in raise_for_status
                  raise HTTPError(http_error_msg, response=self)
              requests.exceptions.HTTPError: 500 Server Error: Internal Server Error for url: https://huggingface.co/api/datasets/lance-format/food101-lance
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/lance/lance.py", line 107, in _split_generators
                  dataset_sha = api.dataset_info(self.repo_id).sha
                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2674, in dataset_info
                  hf_raise_for_status(r)
                File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 482, in hf_raise_for_status
                  raise _format(HfHubHTTPError, str(e), response) from e
              huggingface_hub.errors.HfHubHTTPError: 500 Server Error: Internal Server Error for url: https://huggingface.co/api/datasets/lance-format/food101-lance (Request ID: Root=1-69fe1713-30421a5b5c995afa4ce941c1;141fe60c-dac8-420f-ba0d-2bc3292daf78)
              
              Internal Error - We're working hard to fix this as soon as possible!
              
              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 "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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.

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Food-101 (Lance Format)

Lance-formatted version of Food-101 — 101,000 food photographs across 101 classes — sourced from ethz/food101. Inline JPEG bytes + CLIP image embeddings + IVF_PQ.

Splits

Split	Rows
`train.lance`	75,750
`validation.lance`	25,250

Schema

Column	Type	Notes
`id`	`int64`	Row index within split
`image`	`large_binary`	Inline JPEG bytes
`label`	`int32`	Class id (0-100)
`label_name`	`string`	One of 101 dish names (`apple_pie`, `baby_back_ribs`, …)
`image_emb`	`fixed_size_list<float32, 512>`	OpenCLIP `ViT-B-32` embedding (cosine-normalized)

Pre-built indices

IVF_PQ on image_emb — metric=cosine
BTREE on label
BITMAP on label_name

Quick start

import lance
ds = lance.dataset("hf://datasets/lance-format/food101-lance/data/validation.lance")
print(ds.count_rows(), ds.schema.names, ds.list_indices())

Filter by class

import lance
ds = lance.dataset("hf://datasets/lance-format/food101-lance/data/validation.lance")
sushi = ds.scanner(filter="label_name = 'sushi'", columns=["id"], limit=5).to_table()

Visual similarity search

import lance, pyarrow as pa
ds = lance.dataset("hf://datasets/lance-format/food101-lance/data/validation.lance")
emb_field = ds.schema.field("image_emb")
ref = ds.take([0], columns=["image_emb", "label_name"]).to_pylist()[0]
query = pa.array([ref["image_emb"]], type=emb_field.type)
neighbors = ds.scanner(
    nearest={"column": "image_emb", "q": query[0], "k": 5, "nprobes": 16, "refine_factor": 30},
    columns=["id", "label_name"],
).to_table().to_pylist()

Source & license

Converted from ethz/food101. The Food-101 dataset is by Bossard et al. (ETH Zurich) — see the original dataset page for licensing details.

Citation

@inproceedings{bossard2014food,
  title={Food-101 -- Mining Discriminative Components with Random Forests},
  author={Bossard, Lukas and Guillaumin, Matthieu and Van Gool, Luc},
  booktitle={European Conference on Computer Vision (ECCV)},
  year={2014}
}

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