sent_id large_stringlengths 14 14 | tok_id int64 1 324 | word large_stringlengths 1 42 | pos_tag large_stringclasses 35
values | lemma large_stringlengths 0 36 | gender large_stringclasses 4
values | number large_stringclasses 3
values | tense large_stringclasses 4
values | aspect large_stringclasses 12
values | modality large_stringclasses 15
values | case large_stringclasses 10
values | polarity large_stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|---|
ml_pos_0000001 | 1 | കന്യാസ്ത്രീയാകാൻ | VERB_INF | ആകുക | purposive | ||||||
ml_pos_0000001 | 2 | ആഗ്രഹിച്ച | VERB_ADJPTCP | ആഗ്രഹിക്കുക | Past | ||||||
ml_pos_0000001 | 3 | യുവതി | NOUN_COM | യുവതി | Sing | Nom | |||||
ml_pos_0000001 | 4 | പിന്നീട് | ADV | പിന്നീട് | |||||||
ml_pos_0000001 | 5 | പോൺ | NOUN_COM | ||||||||
ml_pos_0000001 | 6 | താരമായി | ADV | ആയി | |||||||
ml_pos_0000001 | 7 | മാറിയ | VERB_ADJPTCP | മാറുക | Past | ||||||
ml_pos_0000001 | 8 | സംഭവം | NOUN_COM | സംഭവം | Sing | Nom | |||||
ml_pos_0000001 | 9 | വാർത്തകളിൽ | NOUN_COM | വാർത്ത | Plur | Loc | |||||
ml_pos_0000001 | 10 | ഇടംപിടിച്ചു | VERB_FIN | പിടിക്കുക | Past | ||||||
ml_pos_0000001 | 11 | . | SYM | . | |||||||
ml_pos_0000002 | 1 | ഭാരത | NOUN_PROP | ഭാരതം | |||||||
ml_pos_0000002 | 2 | - | SYM | - | |||||||
ml_pos_0000002 | 3 | പാകിസ്താൻ | NOUN_PROP | പാകിസ്താൻ | Sing | Nom | |||||
ml_pos_0000002 | 4 | അതിർത്തിയിൽ | NOUN_COM | അതിർത്തി | Sing | Loc | |||||
ml_pos_0000002 | 5 | വീണ്ടും | ADV | വീണ്ടും | |||||||
ml_pos_0000002 | 6 | വെടിവെപ്പുണ്ടാവുകയും | VERB_INF | ഉം | |||||||
ml_pos_0000002 | 7 | ഒരു | NUM_CARD | ഒരു | |||||||
ml_pos_0000002 | 8 | ബി | NOUN_PROP | ബി | Sing | Nom | |||||
ml_pos_0000002 | 9 | . | SYM | . | |||||||
ml_pos_0000002 | 10 | എസ് | NOUN_PROP | എസ് | Sing | Nom | |||||
ml_pos_0000002 | 11 | . | SYM | . | |||||||
ml_pos_0000002 | 12 | എഫ് | NOUN_PROP | എഫ് | Sing | Nom | |||||
ml_pos_0000002 | 13 | . | SYM | . | |||||||
ml_pos_0000002 | 14 | ജവാൻ | NOUN_COM | ജവാൻ | Sing | Nom | |||||
ml_pos_0000002 | 15 | കൊല്ലപ്പെടുകയും | VERB_INF | ഉം | |||||||
ml_pos_0000002 | 16 | ചെയ്തു | VERB_FIN | ചെയ്യുക | Past | ||||||
ml_pos_0000002 | 17 | . | SYM | . | |||||||
ml_pos_0000003 | 1 | എഴുന്നേറ്റുനിന്ന് | VERB_CONJPTCP | നിൽക്കുക | Past | ||||||
ml_pos_0000003 | 2 | കുനിഞ്ഞ് | VERB_CONJPTCP | കുനിയുക | Past | ||||||
ml_pos_0000003 | 3 | താഴെ | NOUN_LOCTIME | താഴെ | Sing | Nom | |||||
ml_pos_0000003 | 4 | വെച്ചിരിക്കുന്ന | VERB_ADJPTCP | ഇരിക്കുക | Pres | ||||||
ml_pos_0000003 | 5 | വെള്ളം | NOUN_COM | വെള്ളം | Sing | Nom | |||||
ml_pos_0000003 | 6 | സ്ട്രോ | NOUN_COM | സ്ട്രോ | |||||||
ml_pos_0000003 | 7 | ഉപയോഗിച്ച് | VERB_CONJPTCP | ഉപയോഗിക്കുക | Past | ||||||
ml_pos_0000003 | 8 | കുടിക്കുന്നത് | VERB_FIN | കുടിക്കുക | Sing | Pres | Nom | ||||
ml_pos_0000003 | 9 | എക്കിൾ | NOUN_COM | എക്കിൾ | Sing | Nom | |||||
ml_pos_0000003 | 10 | മാറാനുള്ള | ADJ | ഉള്ള | |||||||
ml_pos_0000003 | 11 | ഏറ്റവും | INTENS | ഏറ്റവും | |||||||
ml_pos_0000003 | 12 | ഫലപ്രദമായ | ADJ | ആയ | |||||||
ml_pos_0000003 | 13 | മാർഗമാണ് | VERB_FIN | ആണ് | |||||||
ml_pos_0000003 | 14 | . | SYM | . | |||||||
ml_pos_0000004 | 1 | എക്കിൾ | NOUN_COM | എക്കിൾ | Sing | Nom | |||||
ml_pos_0000004 | 2 | മാറാൻ | VERB_INF | മാറാൻ | Sing | Nom | |||||
ml_pos_0000004 | 3 | പ്രയാസം | NOUN_COM | പ്രയാസം | Sing | Nom | |||||
ml_pos_0000004 | 4 | നേരിടുന്നവർ | NOUN_COM | ||||||||
ml_pos_0000004 | 5 | തീർച്ചയായും | ADV | ആയുക | Fut | ||||||
ml_pos_0000004 | 6 | ഈ | DET_DEM | ഈ | |||||||
ml_pos_0000004 | 7 | രീതി | NOUN_COM | രീതി | Sing | Nom | |||||
ml_pos_0000004 | 8 | പരീക്ഷിച്ചു | VERB_CONJPTCP | പരീക്ഷിക്കുക | Past | ||||||
ml_pos_0000004 | 9 | നോക്കേണ്ടതാണ് | VERB_FIN | നോക്കുക | imperative | ||||||
ml_pos_0000004 | 10 | . | SYM | . | |||||||
ml_pos_0000005 | 1 | ബലിയർപ്പണത്തിനായി | ADV | ആയി | Dat | ||||||
ml_pos_0000005 | 2 | ബലിപീഠത്തിലെത്തുമ്പോൾ | VERB_COND | എത്തുക | Loc | ||||||
ml_pos_0000005 | 3 | മറ്റാരോടെങ്കിലും | NOUN_COM | ||||||||
ml_pos_0000005 | 4 | ക്ഷമിക്കാനുണ്ടെങ്കിൽ | VERB_COND | എങ്കിൽ | Fut | ||||||
ml_pos_0000005 | 5 | ബലിവസ്തുക്കൾ | NOUN_COM | വസ്തു | Plur | Nom | |||||
ml_pos_0000005 | 6 | അവിടെ | ADV | അവിടെ | |||||||
ml_pos_0000005 | 7 | സമർപ്പിച്ച് | VERB_CONJPTCP | സമർപ്പിക്കുക | Past | ||||||
ml_pos_0000005 | 8 | പശ്ചാത്തപിച്ചശേഷം | VERB_COND | ||||||||
ml_pos_0000005 | 9 | മാത്രമേ | POSTP | മാത്രം | Sing | Voc | |||||
ml_pos_0000005 | 10 | ബലി | NOUN_COM | ബലി | Sing | Nom | |||||
ml_pos_0000005 | 11 | അർപ്പിക്കാവൂ | VERB_FIN | ||||||||
ml_pos_0000005 | 12 | . | SYM | . | |||||||
ml_pos_0000006 | 1 | അല്ലാത്തപക്ഷം | CONJ_SUBORD | അക്ഷം | Sing | Nom | |||||
ml_pos_0000006 | 2 | ആ | DET_DEM | ആ | |||||||
ml_pos_0000006 | 3 | ബലിയർപ്പണം | NOUN_COM | അർപ്പണം | Sing | Nom | |||||
ml_pos_0000006 | 4 | ദൈവം | NOUN_COM | ദൈവം | Sing | Nom | |||||
ml_pos_0000006 | 5 | സ്വീകരിക്കുന്നതല്ല | NEG | അല്ല | Pres | Neg | |||||
ml_pos_0000006 | 6 | . | SYM | . | |||||||
ml_pos_0000007 | 1 | ഒരു | NUM_CARD | ഒരു | |||||||
ml_pos_0000007 | 2 | വിശ്വാസി | NOUN_COM | വിശ്വാസി | Sing | Nom | |||||
ml_pos_0000007 | 3 | എന്ന | QUOT | എന്ന | |||||||
ml_pos_0000007 | 4 | നിലയിൽ | NOUN_COM | നില | Sing | Loc | |||||
ml_pos_0000007 | 5 | നൂറാവർത്തിയെങ്കിലും | NOUN_COM | എങ്കിലും | |||||||
ml_pos_0000007 | 6 | വൈദികർ | NOUN_COM | ||||||||
ml_pos_0000007 | 7 | ബലിപീഠത്തിൽ | NOUN_COM | ബലിപീഠം | Sing | Loc | |||||
ml_pos_0000007 | 8 | നിന്നുകൊണ്ട് | VERB_CONJPTCP | കൊണ്ട് | |||||||
ml_pos_0000007 | 9 | ഈ | DET_DEM | ഈ | |||||||
ml_pos_0000007 | 10 | വചനം | NOUN_COM | വചനം | Sing | Nom | |||||
ml_pos_0000007 | 11 | ആഹ്വാനം | NOUN_COM | ആഹ്വാനം | Sing | Nom | |||||
ml_pos_0000007 | 12 | ചെയ്യുന്നത് | VERB_FIN | ചെയ്യുക | Sing | Pres | Nom | ||||
ml_pos_0000007 | 13 | നാം | PRON_PERS | നാം | Plur | Nom | |||||
ml_pos_0000007 | 14 | കേട്ടിട്ടുണ്ട് | VERB_FIN | ഉണ്ട് | Past | ||||||
ml_pos_0000007 | 15 | . | SYM | . | |||||||
ml_pos_0000008 | 1 | കോഴിക്കോട് | NOUN_PROP | കോഴിക്കോട് | Sing | Nom | |||||
ml_pos_0000008 | 2 | ജില്ലയിലെ | NOUN_COM | അയിലെ | Sing | Nom | |||||
ml_pos_0000008 | 3 | ആയഞ്ചേരിയിൽ | NOUN_PROP | അഞ്ചേരി | Sing | Loc | |||||
ml_pos_0000008 | 4 | സ്കൂൾ | NOUN_COM | സ്കൂൾ | Sing | Nom | |||||
ml_pos_0000008 | 5 | ഉച്ചഭക്ഷണ | ADJ | ഭക്ഷണം | |||||||
ml_pos_0000008 | 6 | വിതരണം | NOUN_COM | വിതരണം | Sing | Nom | |||||
ml_pos_0000008 | 7 | കാര്യക്ഷമമാക്കാൻ | VERB_INF | മാക്കാൻ | Sing | Nom | |||||
ml_pos_0000008 | 8 | സർക്കാർ | NOUN_COM | സർക്കാർ | Sing | Nom | |||||
ml_pos_0000008 | 9 | നടപടികൾ | NOUN_COM | നടപടി | Plur | Nom | |||||
ml_pos_0000008 | 10 | ആരംഭിച്ചു | VERB_FIN | ആരംഭിക്കുക | Past | ||||||
ml_pos_0000008 | 11 | . | SYM | . | |||||||
ml_pos_0000009 | 1 | കഴിഞ്ഞ | ADJ | കഴിയുക | Past | ||||||
ml_pos_0000009 | 2 | ദിവസം | NOUN_COM | ദിവസം | Sing | Nom | |||||
ml_pos_0000009 | 3 | പൊതുവിദ്യാഭ്യാസ | ADJ | വിദ്യാഭ്യാസ | Sing | Nom | |||||
ml_pos_0000009 | 4 | സെക്രട്ടറിയുടെ | NOUN_COM | സെക്രട്ടറി | Gen |
Malayalam Syntactic Feature Dataset
A large word-level resource for Malayalam syntax and morphology: 1,901,014 words in 152,454 sentences. Every word has a part-of-speech tag, its lemma (dictionary form), and seven grammatical features: gender, number, tense, aspect, modality, case and polarity.
Malayalam is strongly agglutinative. A single written word such as വാർത്തകളിൽ ("in the news reports") packs together a stem (വാർത്ത), plural number and locative case. This dataset unpacks that information into clean, separate columns. It's ready for training and evaluating part-of-speech taggers, morphological analysers, lemmatisers and feature predictors, and for linguistic study of Malayalam grammar at scale.
| Sentences | 152,454 |
| Words (tokens) | 1,901,014 |
| Unique word forms | 278,052 |
| Unique lemmas | 40,284 |
| Part-of-speech tags | 35 |
| Grammatical features | 7 |
Columns
| Column | Description |
|---|---|
sent_id |
Identifier of the sentence the word belongs to (ml_pos_0000001, …). |
tok_id |
Position of the word within its sentence, starting at 1. Together with sent_id, it lets you rebuild every sentence in order. |
word |
The word exactly as it appears in the sentence. |
pos_tag |
The word's part-of-speech tag: its grammatical category and syntactic role (see Part-of-speech tags). |
lemma |
The dictionary form of the word, with inflection removed: വാർത്തകളിൽ → വാർത്ത, ആഗ്രഹിച്ച → ആഗ്രഹിക്കുക, അവളുടെ → അവൾ. |
gender |
Grammatical gender: Masc, Fem or Neut. In Malayalam, gender is expressed in pronouns (അവൻ "he", അവൾ "she", അത് "it"); verbs don't change for gender. |
number |
Sing (one) or Plur (more than one), e.g. കുട്ടി / കുട്ടികൾ. |
tense |
Time of the action: Past, Pres (present) or Fut (future). |
aspect |
How the action unfolds in time: completed, habitual or repeated (values below). |
modality |
The speaker's stance towards the action: command, purpose, promise, condition, wish, permission… (values below). |
case |
The grammatical role a noun or pronoun plays in the sentence: subject, object, recipient, owner, location… (values below). |
polarity |
Neg for negated forms (e.g. -ില്ല "not", -ാതെ "without"). |
An empty cell means the feature doesn't apply to that word (for example, tense on a noun, or case on a verb).
Example (first five words of the first sentence):
| word | pos_tag | lemma | number | tense | modality | case |
|---|---|---|---|---|---|---|
| കന്യാസ്ത്രീയാകാൻ | VERB_INF | ആകുക | purposive | |||
| ആഗ്രഹിച്ച | VERB_ADJPTCP | ആഗ്രഹിക്കുക | Past | |||
| യുവതി | NOUN_COM | യുവതി | Sing | Nom | ||
| വാർത്തകളിൽ | NOUN_COM | വാർത്ത | Plur | Loc | ||
| ഇടംപിടിച്ചു | VERB_FIN | പിടിക്കുക | Past |
Part-of-speech tags
A part-of-speech (POS) tag says what kind of word something is and what role it can play in a sentence. POS tags are the foundation of syntactic analysis. Parsers, named-entity recognisers, machine translation, grammar checkers and information extraction all rely on them to know which words can be subjects, which mark relations, and where clauses begin and end. The tagset here is designed around Malayalam, giving its distinctive verb forms (participles, conditional forms, the quotative) their own tags.
| Tag | Name | Examples | Significance |
|---|---|---|---|
| Nouns | |||
NOUN_COM |
Common noun | യുവതി, സംഭവം | Heads most phrases; typical subjects and objects. |
NOUN_PROP |
Proper noun | പാകിസ്താൻ, ഭാരത | Names of people, places and organisations; central to entity recognition. |
NOUN_LOCTIME |
Location/time noun | താഴെ, മുന്നിൽ | Nouns that express spatial or temporal relations ("below", "in front"). |
NOUN_VERBAL |
Verbal noun | ഖനനം | An action expressed as a noun ("mining"). |
| Pronouns and determiners | |||
PRON_PERS |
Personal pronoun | നാം, അദ്ദേഹം, അത് | Stands in for a noun; key for tracking who is being talked about. |
PRON_REFL |
Reflexive pronoun | താൻ, സ്വയം | Refers back to the subject ("oneself"). |
PRON_RECIP |
Reciprocal pronoun | പരസ്പരം, തമ്മിൽ | Expresses mutual relations ("each other"). |
DET_DEM |
Demonstrative | ഈ, ആ | Points to a specific thing ("this", "that"). |
QWORD |
Question word | എന്ത്, എങ്ങനെ | Forms questions and indefinite expressions. |
| Verbs | |||
VERB_FIN |
Finite verb | ചെയ്തു, ഇടംപിടിച്ചു | Completes a clause. Malayalam is verb-final, so these mark the end of a sentence or clause. |
VERB_ADJPTCP |
Adjectival participle | ആഗ്രഹിച്ച, മാറിയ | A verb form that modifies the noun after it; how Malayalam builds relative clauses ("the woman who wished"). |
VERB_CONJPTCP |
Conjunctive participle | കുനിഞ്ഞ്, ഉപയോഗിച്ച് | Chains actions together ("having bent, …", "using …"); links clauses into a sequence. |
VERB_INF |
Infinitive | മാറാൻ, ഉണ്ടാവുകയും | Purpose and complement clauses ("in order to change"). |
VERB_COND |
Conditional/temporal | ആയാൽ, എത്തുമ്പോൾ | "If" and "when" clauses. |
VERB_GER |
Gerund | നീന്തൽ | The action itself used as a noun ("swimming"). |
VERB_NONFIN |
Other non-finite verb | ചെയ്യുന്നതിന്റെ | Nominalised verb forms ("of doing"). |
VERB_NOMPTCP |
Nominalised participle | ചെയ്യുന്നതിന് | A participle used as a case-marked noun ("for doing"). |
| Modifiers | |||
ADJ |
Adjective | ഫലപ്രദമായ, കഴിഞ്ഞ | Describes a noun. |
ADV |
Adverb | പിന്നീട്, വീണ്ടും | Describes an action: time, manner, frequency. |
INTENS |
Intensifier | വളരെ, ഏറ്റവും | Expresses degree ("very", "most"). |
| Numbers and quantity | |||
NUM_CARD |
Cardinal number | ഒരു, അഞ്ചു | Counting numbers. |
NUM_ORD |
Ordinal number | മൂന്നാം, രണ്ടാം | Position in a sequence ("third"). |
QUANT |
Quantifier | ചില, പല, അനേകം | Non-exact amounts ("some", "many"). |
| Particles and connectives | |||
POSTP |
Postposition | മുതൽ, ശേഷം | Relation words placed after the noun; Malayalam's equivalent of prepositions. |
CONJ_COORD |
Coordinating conjunction | പക്ഷേ | Joins clauses of equal status ("but"). |
CONJ_SUBORD |
Subordinating conjunction | എങ്കിലും | Introduces a dependent clause ("although"). |
QUOT |
Quotative marker | എന്ന്, എന്ന | Marks reported speech, thought and naming; extremely common in Malayalam. |
NEG |
Negation | ഇല്ല, അല്ല | Reverses meaning; essential for sentiment analysis and inference. |
EMPH |
Emphatic particle | തന്നെ | Adds focus ("itself", "indeed"). |
ENUM |
Enumerative clitic | എന്നിവർ, എന്നീ | Closes a list ("A, B and C"). |
INTJ |
Interjection | അയ്യോ, എടോ | Exclamations and calls. |
| Symbols and other | |||
SYM |
Symbol | . - , | Punctuation and symbols. |
PUNCT |
Punctuation | . | Punctuation marks. |
FOREIGN |
Foreign word | — | Words from other languages. |
RESID |
Residual | — | Anything not covered by the categories above. |
Grammatical features
Malayalam marks who did what to whom, when and how with suffixes, not word order. A noun's case suffix tells you whether it's the subject, object or location. A verb's suffixes tell you the time of the action, whether it's complete, and the speaker's attitude. Having these as explicit features lets models and rule systems use them directly, which is especially valuable for a morphologically rich, low-resource language.
| Feature | Values (word counts) | Significance |
|---|---|---|
| case | Nom 532,003 · Loc 110,419 · Dat 57,672 · Gen 52,536 · Acc 33,417 · Soc 9,094 · Voc 4,016 · Ins 1,275 · Abl 754 | The role of a noun in the sentence: Nom: subject Acc (-നെ): direct object Dat (-ക്ക്, -ന്): recipient Gen (-ന്റെ, -ഉടെ): owner Loc (-ൽ): place Soc (-ഓട്): companion / "with" Ins: instrument / "by means of" Abl: source / "from" Voc: addressing someone directly |
| number | Sing 657,591 · Plur 101,667 | One vs many (plural -കൾ, -മാർ). Needed for agreement and counting. |
| tense | Past 153,312 · Pres 49,173 · Fut 25,639 | When the action takes place. Key for event ordering and timelines. |
| aspect | simple-perfect 3,179 · remote-perfect 2,678 · cont-perfect 1,161 · habitual 762 · iterative 124 · iterative-past 119 · iterative-present 188 · iterative-future 13 · emphatic-iterative 20 | How the action unfolds: perfect: completed, with present relevance (-ിരുന്നു, -ിട്ടുണ്ട്) habitual: regularly done (-ാറുണ്ട്) iterative: repeated or ongoing (-കൊണ്ടിരിക്കുന്നു) |
| modality | purposive 22,092 · imperative 7,755 · promissive 4,393 · conditional 2,347 · permissive 969 · optative 312 · compulsive 89 · desiderative 57 · satisfactive 37 · quotative 15 · irrealis 14 · precative 11 · precative-neg 5 · abilitative 1 | The speaker's stance towards the action: purposive: purpose (-ആൻ, "in order to") imperative: command or need (-ണം) promissive: offer or promise (-ാം) conditional: condition (-ആൽ, "if") permissive: permission optative: wish (-ട്ടെ, "let it") compulsive: obligation desiderative: desire irrealis: hypothetical ("would have") precative: polite request |
| gender | Neut 8,640 · Masc 8,263 · Fem 600 | Masculine / feminine / neuter, expressed in pronouns. Useful for coreference: knowing who "he", "she" or "it" refers to. |
| polarity | Neg 10,598 | Marks negated forms. Important for meaning, sentiment and question answering. |
Usage
from datasets import load_dataset
ds = load_dataset("Navneeth017/malayalam-syntactic-features", split="train")
print(ds[0])
# {'sent_id': 'ml_pos_0000001', 'tok_id': 1, 'word': 'കന്യാസ്ത്രീയാകാൻ', 'pos_tag': 'VERB_INF',
# 'lemma': 'ആകുക', 'gender': '', 'number': '', 'tense': '', 'aspect': '', 'modality': 'purposive',
# 'case': '', 'polarity': ''}
Rebuilding sentences (e.g. for sequence labelling):
import pandas as pd
df = ds.to_pandas()
sentences = df.sort_values(["sent_id", "tok_id"]).groupby("sent_id").agg(list)
# sentences.loc["ml_pos_0000001", "word"], sentences.loc["ml_pos_0000001", "pos_tag"], ...
Using the TSV: load it with quote handling turned off, since some tokens are a bare " character:
df = pd.read_csv("malayalam_syntactic_features.tsv", sep="\t", quoting=3, dtype=str, keep_default_na=False)
Suggested tasks
- Part-of-speech tagging: predict
pos_tagfor each word. - Lemmatisation: predict
lemmafromword. - Morphological feature prediction: predict case, number, tense, aspect, modality, gender and polarity, as one multi-task model or one model per feature.
- Morphologically aware pre-training and probing: test whether a language model's representations encode Malayalam case, tense and mood.
- Linguistic analysis: frequency and distribution of grammatical categories in Malayalam text.
Files
| File | Description |
|---|---|
data/train.parquet |
The full dataset in Parquet format (used by the dataset viewer and load_dataset). |
malayalam_syntactic_features.tsv |
The same data as a tab-separated text file. |
License
This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You are free to use, share and adapt it, including for commercial purposes, as long as you give appropriate credit.
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