verb_id stringclasses 5
values | translation stringclasses 5
values | pronoun stringclasses 10
values | person int64 1 3 | number stringclasses 2
values | gender stringclasses 3
values | tense stringclasses 8
values | subtype nullclasses 3
values | form stringlengths 3 13 |
|---|---|---|---|---|---|---|---|---|
iri | ser/existir/estar/haber | Nec | 1 | sg | neuter | preterito | null | edjig |
iri | ser/existir/estar/haber | Cek | 2 | sg | masc | preterito | null | tedjid |
iri | ser/existir/estar/haber | Cem | 2 | sg | fem | preterito | null | tedjid |
iri | ser/existir/estar/haber | Netta | 3 | sg | masc | preterito | null | yedja |
iri | ser/existir/estar/haber | Nettat | 3 | sg | fem | preterito | null | tedja |
iri | ser/existir/estar/haber | Neccin | 1 | pl | neuter | preterito | null | nedja |
iri | ser/existir/estar/haber | Kenniw | 2 | pl | masc | preterito | null | tedjam |
iri | ser/existir/estar/haber | Kennint | 2 | pl | fem | preterito | null | tedjamt |
iri | ser/existir/estar/haber | Nitnin | 3 | pl | masc | preterito | null | edjan |
iri | ser/existir/estar/haber | Nitenti | 3 | pl | fem | preterito | null | edjant |
iri | ser/existir/estar/haber | Nec | 1 | sg | neuter | presente_intensivo | null | ttirig |
iri | ser/existir/estar/haber | Cek | 2 | sg | masc | presente_intensivo | null | ttirid |
iri | ser/existir/estar/haber | Cem | 2 | sg | fem | presente_intensivo | null | ttirid |
iri | ser/existir/estar/haber | Netta | 3 | sg | masc | presente_intensivo | null | ttiri |
iri | ser/existir/estar/haber | Nettat | 3 | sg | fem | presente_intensivo | null | ttiri |
iri | ser/existir/estar/haber | Neccin | 1 | pl | neuter | presente_intensivo | null | ntiri |
iri | ser/existir/estar/haber | Kenniw | 2 | pl | masc | presente_intensivo | null | ttirim |
iri | ser/existir/estar/haber | Kennint | 2 | pl | fem | presente_intensivo | null | ttirimt |
iri | ser/existir/estar/haber | Nitnin | 3 | pl | masc | presente_intensivo | null | ttirin |
iri | ser/existir/estar/haber | Nitenti | 3 | pl | fem | presente_intensivo | null | ttirint |
iri | ser/existir/estar/haber | Nec | 1 | sg | neuter | futuro | null | ad irig |
iri | ser/existir/estar/haber | Cek | 2 | sg | masc | futuro | null | a tirid |
iri | ser/existir/estar/haber | Cem | 2 | sg | fem | futuro | null | a tirid |
iri | ser/existir/estar/haber | Netta | 3 | sg | masc | futuro | null | ad yiri |
iri | ser/existir/estar/haber | Nettat | 3 | sg | fem | futuro | null | a tiri |
iri | ser/existir/estar/haber | Neccin | 1 | pl | neuter | futuro | null | a niri |
iri | ser/existir/estar/haber | Kenniw | 2 | pl | masc | futuro | null | a tirim |
iri | ser/existir/estar/haber | Kennint | 2 | pl | fem | futuro | null | a tirimt |
iri | ser/existir/estar/haber | Nitnin | 3 | pl | masc | futuro | null | ad irin |
iri | ser/existir/estar/haber | Nitenti | 3 | pl | fem | futuro | null | ad irint |
iri | ser/existir/estar/haber | Cek | 2 | sg | masc | imperativo_perfecto | null | iri |
iri | ser/existir/estar/haber | Cem | 2 | sg | fem | imperativo_perfecto | null | iri |
iri | ser/existir/estar/haber | Kenniw | 2 | pl | masc | imperativo_perfecto | null | irim |
iri | ser/existir/estar/haber | Kennint | 2 | pl | fem | imperativo_perfecto | null | irimt |
iri | ser/existir/estar/haber | Cek | 2 | sg | masc | imperativo_intensivo | null | ttiri |
iri | ser/existir/estar/haber | Cem | 2 | sg | fem | imperativo_intensivo | null | ttiri |
iri | ser/existir/estar/haber | Kenniw | 2 | pl | masc | imperativo_intensivo | null | ttirimt |
iri | ser/existir/estar/haber | Kennint | 2 | pl | fem | imperativo_intensivo | null | ttirimt |
iri | ser/existir/estar/haber | Cek | 2 | sg | masc | imperativo_prohibitivo | null | war ttiri |
iri | ser/existir/estar/haber | Cem | 2 | sg | fem | imperativo_prohibitivo | null | war ttiri |
iri | ser/existir/estar/haber | Kenniw | 2 | pl | masc | imperativo_prohibitivo | null | war ttirimt |
iri | ser/existir/estar/haber | Kennint | 2 | pl | fem | imperativo_prohibitivo | null | war ttirimt |
aqqa | estar (ubicaciΓ³n/estado presente) | Nec | 1 | sg | neuter | presente_simple | null | aqqa-i |
aqqa | estar (ubicaciΓ³n/estado presente) | Cek | 2 | sg | masc | presente_simple | null | aqqa-cek |
aqqa | estar (ubicaciΓ³n/estado presente) | Cem | 2 | sg | fem | presente_simple | null | aqqa-cem |
aqqa | estar (ubicaciΓ³n/estado presente) | Netta | 3 | sg | masc | presente_simple | null | aqqa-t |
aqqa | estar (ubicaciΓ³n/estado presente) | Nettat | 3 | sg | fem | presente_simple | null | aqqa-t |
aqqa | estar (ubicaciΓ³n/estado presente) | Neccin | 1 | pl | neuter | presente_simple | null | aqqa-neΙ£ |
aqqa | estar (ubicaciΓ³n/estado presente) | Kenniw | 2 | pl | masc | presente_simple | null | aqqa-kenniw |
aqqa | estar (ubicaciΓ³n/estado presente) | Kennint | 2 | pl | fem | presente_simple | null | aqqa-kennint |
aqqa | estar (ubicaciΓ³n/estado presente) | Nitnin | 3 | pl | masc | presente_simple | null | aqqa-ten |
aqqa | estar (ubicaciΓ³n/estado presente) | Nitenti | 3 | pl | fem | presente_simple | null | aqqa-tent |
ttuga | estar (ubicaciΓ³n/estado pasado) | Nec | 1 | sg | neuter | pasado_simple | null | ttuΙ£a-i |
ttuga | estar (ubicaciΓ³n/estado pasado) | Cek | 2 | sg | masc | pasado_simple | null | ttuΙ£a-cek |
ttuga | estar (ubicaciΓ³n/estado pasado) | Cem | 2 | sg | fem | pasado_simple | null | ttuΙ£a-cem |
ttuga | estar (ubicaciΓ³n/estado pasado) | Netta | 3 | sg | masc | pasado_simple | null | ttuΙ£a-t |
ttuga | estar (ubicaciΓ³n/estado pasado) | Nettat | 3 | sg | fem | pasado_simple | null | ttuΙ£a-t |
ttuga | estar (ubicaciΓ³n/estado pasado) | Neccin | 1 | pl | neuter | pasado_simple | null | ttuΙ£a-neΙ£ |
ttuga | estar (ubicaciΓ³n/estado pasado) | Kenniw | 2 | pl | masc | pasado_simple | null | ttuΙ£a-kenniw |
ttuga | estar (ubicaciΓ³n/estado pasado) | Kennint | 2 | pl | fem | pasado_simple | null | ttuΙ£a-kennint |
ttuga | estar (ubicaciΓ³n/estado pasado) | Nitnin | 3 | pl | masc | pasado_simple | null | ttuΙ£a-ten |
ttuga | estar (ubicaciΓ³n/estado pasado) | Nitenti | 3 | pl | fem | pasado_simple | null | ttuΙ£a-tent |
gar | tener (poseer) | Nec | 1 | sg | neuter | presente_simple | null | gar-i |
gar | tener (poseer) | Cek | 2 | sg | masc | presente_simple | null | gar-k |
gar | tener (poseer) | Cem | 2 | sg | fem | presente_simple | null | gar-m |
gar | tener (poseer) | Netta | 3 | sg | masc | presente_simple | null | gar-s |
gar | tener (poseer) | Nettat | 3 | sg | fem | presente_simple | null | gar-s |
gar | tener (poseer) | Neccin | 1 | pl | neuter | presente_simple | null | gar-neΙ£ |
gar | tener (poseer) | Kenniw | 2 | pl | masc | presente_simple | null | gar-wem |
gar | tener (poseer) | Kennint | 2 | pl | fem | presente_simple | null | gar-kent |
gar | tener (poseer) | Nitnin | 3 | pl | masc | presente_simple | null | gar-sen |
gar | tener (poseer) | Nitenti | 3 | pl | fem | presente_simple | null | gar-sent |
day | tener (contener/padecer) | Nec | 1 | sg | neuter | presente_simple | null | day-i |
day | tener (contener/padecer) | Cek | 2 | sg | masc | presente_simple | null | day-k |
day | tener (contener/padecer) | Cem | 2 | sg | fem | presente_simple | null | day-m |
day | tener (contener/padecer) | Netta | 3 | sg | masc | presente_simple | null | day-s |
day | tener (contener/padecer) | Nettat | 3 | sg | fem | presente_simple | null | day-s |
day | tener (contener/padecer) | Neccin | 1 | pl | neuter | presente_simple | null | day-neΙ£ |
day | tener (contener/padecer) | Kenniw | 2 | pl | masc | presente_simple | null | day-wem |
day | tener (contener/padecer) | Kennint | 2 | pl | fem | presente_simple | null | day-kent |
day | tener (contener/padecer) | Nitnin | 3 | pl | masc | presente_simple | null | day-sen |
day | tener (contener/padecer) | Nitenti | 3 | pl | fem | presente_simple | null | day-sent |
YAML Metadata Warning:The task_categories "morphology-prediction" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
ποΈ Tarifit Morphological Verb Dataset (TMVD)
π Overview
The Tarifit Morphological Verb Dataset (TMVD) is a high-quality, human-curated resource designed to bridge the gap in Digital Language Support for Tarifit (Riffian Berber), a severely underrepresented Afro-Asiatic language spoken by millions in the Rif region and the diaspora.
Unlike many large-scale datasets for low-resource languages that rely on noisy web-scraping or inaccurate machine translation, this dataset has been manually authored and validated by a native speaker with a background in linguistics and philology.
π§ͺ Research Value
This dataset provides a granular look at Tarifit verbal morphology, which is characterized by complex initial and internal changes. It is particularly valuable for:
- Instruction Tuning: Training LLMs to understand and generate grammatically correct Tarifit.
- Morphological Analysis: Evaluating the ability of models like Gemini, Llama, or Claude to handle non-concatenative morphology.
- Low-Resource Benchmarking: Serving as a "Gold Standard" for zero-shot or few-shot translation tasks involving Catalan and Spanish.
π Dataset Structure
The dataset contains structured conjugations for core verbs (including iri, aqqa, ttuga, gar, day), covering various tenses and moods:
- Preterite & Imperfective: Capturing the aspectual nuances of the Berber verb system.
- Future & Imperative: Including prohibitive and intensive forms.
- Deictic & Existential Verbs: Essential for building dialogue systems.
Column Metadata
| Column | Description |
|---|---|
verb_id |
Citation form (Lemma). |
translation |
Semantic gloss in Spanish/Catalan. |
pronoun |
Subject pronoun (Independent form). |
person/number/gender |
Grammatical features for agreement verification. |
tense/subtype |
Morphosyntactic category. |
form |
The target conjugated form in Latin-based transcription. |
π οΈ Applications
This project is part of an ongoing effort to create a Tarifit-Catalan Public Service Dialogue System, aimed at improving accessibility and linguistic inclusion.
π Citation & License
If you use this dataset in your research, please cite it as follows:
@dataset{tarifit_verb_conjugations_2025,
author = {Jamal I. (jamalinu)},
title = {Tarifit Morphological Verb Dataset},
year = {2025},
publisher = {Hugging Face},
url = {[https://huggingface.co/datasets/jamalinu/tarifit-verb-conjugations](https://huggingface.co/datasets/jamalinu/tarifit-verb-conjugations)}
}
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