| --- |
| language: |
| - it |
| license: cc-by-sa-4.0 |
| task_categories: |
| - text-classification |
| - text-ranking |
| - question-answering |
| pretty_name: BLiMP-IT |
| size_categories: |
| - 10K<n<100K |
| tags: |
| - linguistics |
| - syntax |
| - morphology |
| - acceptability |
| - minimal-pairs |
| - language-model-evaluation |
| - italian |
| configs: |
| - config_name: blimp_it_agreement_and_inflection_dp |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_agreement_and_inflection_dp/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_adjunctisland |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_adjunctisland/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_affirmative2 |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_affirmative2/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_affirmative_mi |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_affirmative_mi/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_affirmative_ti |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_affirmative_ti/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_interrogative_gap_nogap_clitic |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_interrogative_gap_nogap_clitic/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_interrogative_gap_nogap_np_aux |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_interrogative_gap_nogap_np_aux/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_interrogative_nogap_gap_clitic |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_interrogative_nogap_gap_clitic/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_interrogative_nogap_gap_np_aux |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_interrogative_nogap_gap_np_aux/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_interrogative_nogap_nogap_clitic |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_interrogative_nogap_nogap_clitic/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_interrogative_nogap_nogap_np_aux |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_interrogative_nogap_nogap_np_aux/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_rc_object_gap_nogap |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_rc_object_gap_nogap/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_rc_object_nogap_gap |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_rc_object_nogap_gap/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_atb_rc_object_nogap_nogap |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_atb_rc_object_nogap_nogap/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_complexnpisland |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_complexnpisland/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_coordinatestructureconstraint_complex_object_extraction |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_coordinatestructureconstraint_complex_object_extraction/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_left_branch_island_echo_question |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_left_branch_island_echo_question/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_parasiticgap_adjunctisland1 |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_parasiticgap_adjunctisland1/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_parasiticgap_adjunctisland2 |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_parasiticgap_adjunctisland2/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_rc_object |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_rc_object/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_rc_object_nogap |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_rc_object_nogap/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_rc_subject |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_rc_subject/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_rc_subject_nogap |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_rc_subject_nogap/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_sententialsubjectisland |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_sententialsubjectisland/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_wh_extraction_embedd2_clitic_inanimate |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_wh_extraction_embedd2_clitic_inanimate/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_wh_extraction_embedd2_np_inanimate |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_wh_extraction_embedd2_np_inanimate/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_wh_extraction_embedd2_np_inanimate_dem |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_wh_extraction_embedd2_np_inanimate_dem/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_wh_extraction_embedd_clitic_inanimate |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_wh_extraction_embedd_clitic_inanimate/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_wh_extraction_embedd_np_inanimate |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_wh_extraction_embedd_np_inanimate/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_wh_extraction_embedd_np_inanimate_dem |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_wh_extraction_embedd_np_inanimate_dem/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_wh_island_embedd |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_wh_island_embedd/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_wh_island_root |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_wh_island_root/test.jsonl |
| - config_name: blimp_it_non_local_dependencies_wh_island_root_affirmative_dove |
| data_files: |
| - split: test |
| path: data/test/blimp_it_original_non_local_dependencies_wh_island_root_affirmative_dove/test.jsonl |
| - config_name: conversa_a_agreement_dp |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_dp/test.jsonl |
| - config_name: conversa_a_agreement_past_particple_pre_v_cl |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_past_particple_pre_v_cl/test.jsonl |
| - config_name: conversa_a_agreement_past_particple_unacc |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_past_particple_unacc/test.jsonl |
| - config_name: conversa_a_agreement_psych_verbs_piacere |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_psych_verbs_piacere/test.jsonl |
| - config_name: conversa_a_agreement_psych_verbs_preoccupare |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_psych_verbs_preoccupare/test.jsonl |
| - config_name: conversa_a_agreement_subject_nominal_predicate |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_subject_nominal_predicate/test.jsonl |
| - config_name: conversa_a_agreement_subject_nominal_predicate_attraction |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_subject_nominal_predicate_attraction/test.jsonl |
| - config_name: conversa_a_agreement_subject_verb_attraction |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_subject_verb_attraction/test.jsonl |
| - config_name: conversa_a_agreement_subject_verb_cumulative |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_subject_verb_cumulative/test.jsonl |
| - config_name: conversa_a_agreement_subject_verb_trans |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_subject_verb_trans/test.jsonl |
| - config_name: conversa_a_agreement_subject_verb_unacc |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_subject_verb_unacc/test.jsonl |
| - config_name: conversa_a_agreement_subject_verb_unerg |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_subject_verb_unerg/test.jsonl |
| - config_name: conversa_a_agreement_subject_verb_unerg_trans |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_subject_verb_unerg_trans/test.jsonl |
| - config_name: conversa_a_agreement_verb_subject_unacc |
| data_files: |
| - split: test |
| path: data/test/conversa_a_agreement_verb_subject_unacc/test.jsonl |
| - config_name: conversa_b_argument_structure_b_auxiliary_selection_ditranstitives |
| data_files: |
| - split: test |
| path: data/test/conversa_b_argument_structure_b_auxiliary_selection_ditranstitives/test.jsonl |
| - config_name: conversa_b_argument_structure_b_auxiliary_selection_passive_active_diathesis |
| data_files: |
| - split: test |
| path: data/test/conversa_b_argument_structure_b_auxiliary_selection_passive_active_diathesis/test.jsonl |
| - config_name: conversa_b_argument_structure_b_auxiliary_selection_transtitives |
| data_files: |
| - split: test |
| path: data/test/conversa_b_argument_structure_b_auxiliary_selection_transtitives/test.jsonl |
| - config_name: conversa_b_argument_structure_b_auxiliary_selection_unaccusatives |
| data_files: |
| - split: test |
| path: data/test/conversa_b_argument_structure_b_auxiliary_selection_unaccusatives/test.jsonl |
| - config_name: conversa_b_argument_structure_b_auxiliary_selection_unergatives |
| data_files: |
| - split: test |
| path: data/test/conversa_b_argument_structure_b_auxiliary_selection_unergatives/test.jsonl |
| - config_name: conversa_b_argument_structure_b_theta_roles |
| data_files: |
| - split: test |
| path: data/test/conversa_b_argument_structure_b_theta_roles/test.jsonl |
| - config_name: conversa_b_argument_structure_theta_roles |
| data_files: |
| - split: test |
| path: data/test/conversa_b_argument_structure_theta_roles/test.jsonl |
| - config_name: conversa_c_pronouns_1_2_person_answers |
| data_files: |
| - split: test |
| path: data/test/conversa_c_pronouns_1_2_person_answers/test.jsonl |
| - config_name: conversa_c_pronouns_1_2_person_elicited_declaratives |
| data_files: |
| - split: test |
| path: data/test/conversa_c_pronouns_1_2_person_elicited_declaratives/test.jsonl |
| - config_name: conversa_c_pronouns_clitics_answering_with_acc_cl |
| data_files: |
| - split: test |
| path: data/test/conversa_c_pronouns_clitics_answering_with_acc_cl/test.jsonl |
| - config_name: conversa_c_pronouns_clitics_coordinating_with_acc_cl |
| data_files: |
| - split: test |
| path: data/test/conversa_c_pronouns_clitics_coordinating_with_acc_cl/test.jsonl |
| - config_name: conversa_c_pronouns_clitics_coordinating_with_dat_cl |
| data_files: |
| - split: test |
| path: data/test/conversa_c_pronouns_clitics_coordinating_with_dat_cl/test.jsonl |
| - config_name: conversa_c_pronouns_reflexives_other |
| data_files: |
| - split: test |
| path: data/test/conversa_c_pronouns_reflexives_other/test.jsonl |
| - config_name: conversa_c_pronouns_reflexives_psych_verbs |
| data_files: |
| - split: test |
| path: data/test/conversa_c_pronouns_reflexives_psych_verbs/test.jsonl |
| - config_name: conversa_c_pronouns_reflexives_unacc |
| data_files: |
| - split: test |
| path: data/test/conversa_c_pronouns_reflexives_unacc/test.jsonl |
| - config_name: conversa_d_questions_d_answering_questions_with_rc_obj |
| data_files: |
| - split: test |
| path: data/test/conversa_d_questions_d_answering_questions_with_rc_obj/test.jsonl |
| - config_name: conversa_d_questions_d_answering_questions_with_rc_subj |
| data_files: |
| - split: test |
| path: data/test/conversa_d_questions_d_answering_questions_with_rc_subj/test.jsonl |
| - config_name: conversa_d_questions_d_answering_wh_adjunct_questions |
| data_files: |
| - split: test |
| path: data/test/conversa_d_questions_d_answering_wh_adjunct_questions/test.jsonl |
| - config_name: conversa_d_questions_d_answering_wh_argument_questions |
| data_files: |
| - split: test |
| path: data/test/conversa_d_questions_d_answering_wh_argument_questions/test.jsonl |
| - config_name: conversa_d_questions_d_answering_wh_argument_questions_number_disambiguation |
| data_files: |
| - split: test |
| path: data/test/conversa_d_questions_d_answering_wh_argument_questions_number_disambiguation/test.jsonl |
| - config_name: conversa_d_questions_d_answering_why_questions |
| data_files: |
| - split: test |
| path: data/test/conversa_d_questions_d_answering_why_questions/test.jsonl |
| - config_name: conversa_d_questions_d_answering_yes_no_questions |
| data_files: |
| - split: test |
| path: data/test/conversa_d_questions_d_answering_yes_no_questions/test.jsonl |
| - config_name: conversa_d_questions_d_question_formation_subject_position |
| data_files: |
| - split: test |
| path: data/test/conversa_d_questions_d_question_formation_subject_position/test.jsonl |
| --- |
| |
| # BLiMP-IT |
|
|
| ## Dataset Summary |
|
|
| BLiMP-IT is a linguistically motivated benchmark for evaluating Italian language models through **minimal pairs**. |
| Each example consists of a grammatical sentence paired with a minimally different ungrammatical counterpart that isolates a single morphosyntactic contrast. |
| The benchmark is designed to evaluate whether language models assign higher probability to the grammatical sentence than to the ungrammatical one. |
|
|
| The benchmark is inspired by the [English BLiMP](https://huggingface.co/datasets/nyu-mll/blimp) while extending and adapting it to Italian morphosyntax. |
| It combines phenomena from the original BLiMP with additional contrasts derived from Italian linguistic literature and the [COnVERSA](https://www.hogrefe.com/it/shop/comprensione-delle-opposizioni-morfosintattiche-verbali-attraverso-la-scrittura.html) psycholinguistic assessment battery. |
|
|
| Rather than measuring downstream task performance, BLiMP-IT measures the acquisition of abstract morphosyntactic generalizations. |
|
|
| ## Supported Tasks |
|
|
| The dataset is intended for: |
|
|
| - Language model evaluation through sentence probability comparison |
| - Minimal-pair acceptability evaluation |
| - Psycholinguistically motivated syntactic evaluation |
| - Cross-model comparison |
| - Cross-linguistic comparison with BLiMP and related benchmarks |
|
|
| Typical evaluation consists of assigning higher probability (or lower perplexity) to the grammatical member of each minimal pair. |
|
|
| --- |
|
|
| # Dataset Structure |
|
|
| The repository contains one YAML configuration per linguistic phenomenon. |
|
|
| ## Macro-phenomena |
|
|
| The benchmark covers four major linguistic domains. |
|
|
| | Macro-phenomenon | Number of phenomena | |
| |------------------|--------------------:| |
| | Agreement & Inflection | 31 | |
| | Verbal Class & Argument Structure | 10 | |
| | Pronouns | 25 | |
| | Non-local Dependencies | 64 | |
|
|
| Overall the benchmark contains **130 phenomena**. |
|
|
| Some phenomena originate from the original BLiMP benchmark, while others are adapted from the COnVERSA battery or specifically developed for Italian. |
|
|
| --- |
|
|
| # Phenomena |
|
|
| ## Agreement & Inflection |
|
|
| ### Original BLiMP |
|
|
| - DP agreement |
| - `blimp_it_original_agreement_and_inflection_dp` |
|
|
| ### COnVERSA |
|
|
| - Determiner–noun agreement |
| - `conversa_a_agreement_dp` |
| - `conversa_a_agreement_in_dp` |
|
|
| - Subject–verb agreement |
| - `conversa_a_agreement_subject_verb_trans` |
| - `conversa_a_agreement_subject_verb_unacc` |
| - `conversa_a_agreement_subject_verb_unerg` |
| - `conversa_a_agreement_subject_verb_unerg_trans` |
| - `conversa_a_agreement_subject_verb_attraction` |
| - `conversa_a_agreement_subject_verb_cumulative` |
| - `conversa_a_agreement_verb_subject_unacc` |
|
|
| - Predicate agreement |
| - `conversa_a_agreement_subject_nominal_predicate` |
| - `conversa_a_agreement_subject_nominal_predicate_attraction` |
|
|
| - Past participle agreement |
| - `conversa_a_agreement_past_particple_pre_v_cl` |
| - `conversa_a_agreement_past_particple_unacc` |
| - `conversa_a_past_particple_pre_v_cl` |
| - `conversa_a_past_particple_unacc` |
|
|
| - Psych verbs |
| - `conversa_a_agreement_psych_verbs_piacere` |
| - `conversa_a_agreement_psych_verbs_preoccupare` |
| - `conversa_a_psych_verbs_piacere` |
| - `conversa_a_psych_verbs_preoccupare` |
|
|
| --- |
|
|
| ## Verbal Class & Argument Structure |
|
|
| ### COnVERSA |
|
|
| - Theta-role assignment |
| - `conversa_b_theta_roles` |
| - `conversa_b_argument_structure_theta_roles` |
| - `conversa_b_argument_structure_b_theta_roles` |
|
|
| - Auxiliary selection |
| - `conversa_b_auxiliary_selection_transitives` |
| - `conversa_b_auxiliary_selection_unaccusatives` |
| - `conversa_b_auxiliary_selection_unergatives` |
| - `conversa_b_auxiliary_selection_ditranstitives` |
| - `conversa_b_auxiliary_selection_passive_active_diathesis` |
|
|
| - Argument structure variants |
| - `conversa_b_argument_structure_b_auxiliary_selection_transitives` |
| - `conversa_b_argument_structure_b_auxiliary_selection_unaccusatives` |
| - `conversa_b_argument_structure_b_auxiliary_selection_unergatives` |
| - `conversa_b_argument_structure_b_auxiliary_selection_ditranstitives` |
| - `conversa_b_argument_structure_b_auxiliary_selection_passive_active_diathesis` |
|
|
| --- |
|
|
| ## Pronouns |
|
|
| ### COnVERSA |
|
|
| - Personal pronouns |
| - `conversa_c_pronouns_1_2_person_answers` |
| - `conversa_c_pronouns_1_2_person_elicited_declaratives` |
|
|
| - Clitics |
| - `conversa_c_pronouns_clitics_answering_with_acc_cl` |
| - `conversa_c_pronouns_clitics_coordinating_with_acc_cl` |
| - `conversa_c_pronouns_clitics_coordinating_with_dat_cl` |
|
|
| - Reflexives |
| - `conversa_c_pronouns_reflexives_other` |
| - `conversa_c_pronouns_reflexives_psych_verbs` |
| - `conversa_c_pronouns_reflexives_unacc` |
|
|
| --- |
|
|
| ## Non-local Dependencies |
|
|
| ### COnVERSA |
|
|
| - Yes/no questions |
| - `conversa_d_answering_yes_no_questions` |
| - Why questions |
| - `conversa_d_answering_why_questions` |
| - WH-questions |
| - `conversa_d_answering_wh_adjunct_questions` |
| - `conversa_d_answering_wh_argument_questions` |
| - `conversa_d_answering_wh_argument_questions_number_disambiguation` |
| - `conversa_d_answering_questions_with_rc_subj` |
| - `conversa_d_answering_questions_with_rc_obj` |
| - `conversa_d_question_formation_subject_position` |
|
|
| ### Original BLiMP |
|
|
| - Relative clauses |
| - `subject relatives` |
| - `object relatives` |
| - `gap vs no-gap conditions` |
|
|
| - WH extraction |
| - `root extraction` |
| - `embedded extraction` |
| - `two-level embedded extraction` |
| - `clitic fillers` |
| - `NP fillers` |
| - `demonstrative fillers` |
|
|
| - Across-the-board movement |
| - `affirmative` |
| - `interrogative` |
| - `relative clause` |
| - `gap/no-gap manipulations` |
|
|
| - Islands |
| - `adjunct island` |
| - `complex NP island` |
| - `sentential subject island` |
| - `WH island` |
| - `left branch island` |
| - `coordinate structure constraint` |
|
|
| - Parasitic gaps |
| - `adjunct island variants` |
|
|
| --- |
|
|
|
|
| # Data Fields |
|
|
| Each dataset configuration consists of sentence pairs containing: |
|
|
| - `sentence_good` |
| - `sentence_bad` |
| - grammaticality label |
| - linguistic phenomenon identifier |
| - minimal-pair metadata |
|
|
| --- |
|
|
| # Data Creation |
|
|
| ## Source |
|
|
| BLiMP-IT combines: |
|
|
| - manually designed minimal pairs |
| - automatic lexical generation using grammar templates |
| - manually annotated Italian lexicon |
| - human validation |
|
|
| The lexicon was derived from a 2.4M-token corpus of Italian child-directed and naturalistic language, annotated with Universal POS tags, morphological features, and animacy information. Automatic generation produces lexical variants while preserving the targeted morphosyntactic contrast. |
|
|
| --- |
|
|
| # Dataset Characteristics |
|
|
| The benchmark follows two design principles: |
|
|
| 1. **Minimality of contrasts** |
|
|
| Each grammatical and ungrammatical sentence differs only in the manipulation responsible for (un)grammaticality. |
|
|
| 2. **Linguistically meaningful errors** |
|
|
| Ungrammatical sentences contain theoretically motivated morphosyntactic violations rather than random perturbations or word permutations. |
|
|
| --- |
|
|
| # Intended Uses |
|
|
| BLiMP-IT is intended for |
|
|
| - evaluating Italian language models |
| - probing syntactic generalization |
| - comparing language models |
| - comparing humans and language models |
| - psycholinguistic research |
| - computational linguistics research |
|
|
| --- |
|
|
| # Limitations |
|
|
| - The benchmark focuses exclusively on morphosyntax rather than semantics. |
| - Some generated sentences may be semantically unusual while remaining syntactically well formed. |
| - Human acceptability judgments currently exist only for subsets overlapping with COnVERSA. |
| - Automatic lexical generation is still expanding coverage across all phenomena. |
|
|
| --- |
|
|
| # Citation |
|
|
| Bressan et al. (2026) [Language models assessment through linguistically motivated contrasts: A benchmark for Italian (BLiMP-IT)](https://doi.org/10.11576/glow-1242). Proceedings of GLOW 47. DOI: 10.11576/glow-1242 |
|
|
| ```bibtex |
| @inproceedings{bressan2026blimpit, |
| title={Language models assessment through linguistically motivated contrasts: A benchmark for Italian (BLiMP-IT)}, |
| author={Bressan, Veronica and Barbini, Matilde and Fusco, Achille and Neri, Sofia and Piccini Bianchessi, Maria Letizia and Rossi, Sarah and Chesi, Cristiano}, |
| booktitle={Proceedings of GLOW 47}, |
| year={2026} |
| } |
| ``` |
|
|
| --- |
|
|
| # License |
|
|
| CC BY-SA 4.0 |
