Datasets:

Ichlibitiche
/

incidb-skincare-free-sample

Error code:   FeaturesError
Exception:    ParserError
Message:      Error tokenizing data. C error: Expected 1 fields in line 7, saw 3

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/csv/csv.py", line 198, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                                       ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                         ~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                         ~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                      ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      nrows
                      ^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 7, saw 3

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INCIDB: Skincare & Cosmetics INCI Database — Free Sample

A free sample of the INCIDB database: normalized chemical composition data for commercial beauty products, resolved into relational tables with canonical INCI nomenclature, EU CosIng functional categories, and US FDA MoCRA contact-allergen flags.

This sample contains 10 products, 130 ingredients, 9 brands, and ~190 composition mappings — enough to explore the schema and build a proof of concept.

The full database covers 19,645 products, 44,816 INCI compounds, 5,994 brands, and 323,000+ composition mappings.

Get the Full Dataset

🔗 Official Web Portal & Licensing: cosmetics-skincare-database.pages.dev
🏆 Kaggle: Skincare & Cosmetics INCI Formulations
🔬 Live Demo (full database): INCIDB Skincare Chemical Dupe Finder

Files

All files are pipe-delimited (sep="|") CSV:

File	Description
`products.csv`	Commercial formulations with brand associations, retail pricing, EAN barcodes, and raw ingredient label text
`ingredients.csv`	Canonical INCI nomenclature with CAS numbers, functional categories, comedogenic ratings, allergen and fungal-acne flags
`brands.csv`	Brand directory (`brand_id`, `name`)
`product_ingredients.csv`	Junction table preserving exact label position index (relative concentration rank)

Quick Start

import pandas as pd

base = "hf://datasets/Ichlibitiche/incidb-skincare-free-sample/"
products = pd.read_csv(base + "products.csv", sep="|")
ingredients = pd.read_csv(base + "ingredients.csv", sep="|")
composition = pd.read_csv(base + "product_ingredients.csv", sep="|")

Data Sources

EU CosIng — European Commission functional categories and CAS registry numbers
US FDA MoCRA — contact-allergen flags
NLM DailyMed — clinical topical OTC drug labels
K-Beauty MFDS — South Korean functional cosmetic standards
Open Beauty Facts — community product corpus (ODbL)

Attribution & Licensing

Product data © Open Beauty Facts contributors, licensed under the Open Database License (ODbL); derived databases are subject to ODbL share-alike and attribution. Regulatory fields are sourced from public government registries. For questions, contact incidb@proton.me.

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