Datasets:

openfoodfacts
/

product-database

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/parquet/parquet.py", line 58, in _split_generators
                  self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1796, in from_arrow_schema
                  obj = {
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1800, in <dictcomp>
                  else generate_from_arrow_type(field.type)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1488, in generate_from_arrow_type
                  return {field.name: generate_from_arrow_type(field.type) for field in pa_type}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1488, in <dictcomp>
                  return {field.name: generate_from_arrow_type(field.type) for field in pa_type}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1488, in generate_from_arrow_type
                  return {field.name: generate_from_arrow_type(field.type) for field in pa_type}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1488, in <dictcomp>
                  return {field.name: generate_from_arrow_type(field.type) for field in pa_type}
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1503, in generate_from_arrow_type
                  return Value(dtype=_arrow_to_datasets_dtype(pa_type))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 115, in _arrow_to_datasets_dtype
                  raise ValueError(f"Arrow type {arrow_type} does not have a datasets dtype equivalent.")
              ValueError: Arrow type map<string, binary ('threatened_species')> does not have a datasets dtype equivalent.
              
              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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Open Food Facts Database

What is 🍊 Open Food Facts?

A food products database

Open Food Facts is a database of food products with ingredients, allergens, nutrition facts and all the tidbits of information we can find on product labels.

Made by everyone

Open Food Facts is a non-profit association of volunteers. 25.000+ contributors like you have added 1.7 million + products from 150 countries using our Android, iPhone or Windows Phone app or their camera to scan barcodes and upload pictures of products and their labels.

For everyone

Data about food is of public interest and has to be open. The complete database is published as open data and can be reused by anyone and for any use. Check-out the cool reuses or make your own!

The Parquet Dataset

This dataset is a cleaner version of the JSONL dump provided by the Open Food Facts organization on a daily basis. It was converted into the Parquet format for easy of use.

Data processing

Debug tags were removed.
Tagstags are conserved since they contain most information,
Hierarchy tags were removed
lc tags were removed. It corresponds to the "language of the interface",
langs tags are kept for each ingredients_text and conserved as individual columns (for now).
._t fields were converted from unix timestamp to datetime (US).

The original JSONL dump was processed using DuckDB.

Conditions for reuse

The Open Food Facts database is available under the Open Database License. The individual contents of the database are available under the Database Contents License. Products images are available under the Creative Commons Attribution ShareAlike licence. They may contain graphical elements subject to copyright or other rights, that may in some cases be reproduced (quotation rights or fair use).

Please read Terms and conditions of use and re-use before re-using the data.

Tell us about your reuse

We are very interested in learning what the Open Food Facts data is used for. It is not mandatory, but we would very much appreciate it if you tell us about your re-uses so that we can share them with the Open Food Facts community. You can also fill this form to get a chance to get your app featured.

Homepage: https://world.openfoodfacts.org/
Repository: https://github.com/openfoodfacts
Point of Contact: [email protected]

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