Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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Dataset Card for ca-text-corpus

Dataset Summary

Catalan word lists with part of speech labeling curated by humans. Contains 1 180 773 forms including verbs, nouns, adjectives, names or toponyms. These word lists are used to build applications like Catalan spellcheckers or verb querying applications.

Supported Tasks and Leaderboards

This dataset can be used for Catalan morphological lookup, spell-checking resources, grammar-checking resources, lexicon construction, and linguistic preprocessing. It is not associated with a public leaderboard.

Languages

Catalan (ca).

Dataset Structure

The dataset contains 3 columns:

Form (e.g. cantaré)
Lemma (e.g. cantar)
POS tag (e.g. VMIF1S00)

You can have the meaning of the POS tag here: https://freeling-user-manual.readthedocs.io/en/latest/tagsets/tagset-ca/#part-of-speech-verb

Data Instances

Each instance represents a Catalan word form with its lemma and part-of-speech or morphological tag. For example, an entry may contain an inflected form, the corresponding lemma, and a POS tag in the tagset used by the source dictionary tooling.

Data Fields

The logical fields are:

form: surface form.
lemma: base form or lemma.
pos_tag: part-of-speech or morphological tag.

Depending on how the dataset is loaded, each row may be exposed as a raw text line containing these three values.

Data Splits

The dataset provides a single train split.

Dataset Creation

Curation Rationale

The data is maintained as a reusable Catalan lexical and morphological resource for building spell checkers, grammar checkers, and related language tools.

Source Data

Initial Data Collection and Normalization

The source repository contains the root dictionary data used by Softcatala to build Catalan dictionaries for Hunspell and LanguageTool. The root dictionary is organized by grammatical categories. Some files contain pseudodictionary information for inflection, while others use the LanguageTool/Freeling-style tag format.

Who are the source language producers?

The lexical data is maintained by Softcatala contributors and dictionary maintainers.

Annotations

Annotation process

Entries are manually curated with lemma and part-of-speech or morphological information. The tags follow the conventions used by the source Catalan dictionary tooling and related LanguageTool/Freeling resources.

Who are the annotators?

Softcatala contributors and dictionary maintainers.

Personal and Sensitive Information

The dataset is a lexical resource. It may include proper names and toponyms as dictionary entries, but it does not contain definitions or user-generated personal records.

Considerations for Using the Data

Social Impact of Dataset

The dataset supports Catalan spell checking, grammar checking, morphological processing, and other Catalan language technology.

Discussion of Biases

Coverage reflects the editorial and practical goals of the source dictionary tools. Some domains, named entities, dialectal forms, or neologisms may be underrepresented or absent.

Other Known Limitations

The dataset is not a semantic dictionary and does not provide definitions, examples of use, frequency information, or complete syntactic behavior. Reusers need to understand the POS tagset to interpret the tags correctly.