| | --- |
| | annotations_creators: |
| | - expert-generated |
| | language_creators: |
| | - expert-generated |
| | language: |
| | - de |
| | - en |
| | - es |
| | - fr |
| | - it |
| | license: |
| | - cc-by-sa-4.0 |
| | multilinguality: |
| | - multilingual |
| | size_categories: |
| | - 10K<n<100K |
| | source_datasets: |
| | - original |
| | task_categories: |
| | - text-generation |
| | - fill-mask |
| | - text-classification |
| | task_ids: |
| | - dialogue-modeling |
| | - language-modeling |
| | - masked-language-modeling |
| | pretty_name: MIAM |
| | tags: |
| | - dialogue-act-classification |
| | dataset_info: |
| | - config_name: dihana |
| | features: |
| | - name: Speaker |
| | dtype: string |
| | - name: Utterance |
| | dtype: string |
| | - name: Dialogue_Act |
| | dtype: string |
| | - name: Dialogue_ID |
| | dtype: string |
| | - name: File_ID |
| | dtype: string |
| | - name: Label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': Afirmacion |
| | '1': Apertura |
| | '2': Cierre |
| | '3': Confirmacion |
| | '4': Espera |
| | '5': Indefinida |
| | '6': Negacion |
| | '7': No_entendido |
| | '8': Nueva_consulta |
| | '9': Pregunta |
| | '10': Respuesta |
| | - name: Idx |
| | dtype: int32 |
| | splits: |
| | - name: train |
| | num_bytes: 1946735 |
| | num_examples: 19063 |
| | - name: validation |
| | num_bytes: 216498 |
| | num_examples: 2123 |
| | - name: test |
| | num_bytes: 238446 |
| | num_examples: 2361 |
| | download_size: 1777267 |
| | dataset_size: 2401679 |
| | - config_name: ilisten |
| | features: |
| | - name: Speaker |
| | dtype: string |
| | - name: Utterance |
| | dtype: string |
| | - name: Dialogue_Act |
| | dtype: string |
| | - name: Dialogue_ID |
| | dtype: string |
| | - name: Label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': AGREE |
| | '1': ANSWER |
| | '2': CLOSING |
| | '3': ENCOURAGE-SORRY |
| | '4': GENERIC-ANSWER |
| | '5': INFO-REQUEST |
| | '6': KIND-ATTITUDE_SMALL-TALK |
| | '7': OFFER-GIVE-INFO |
| | '8': OPENING |
| | '9': PERSUASION-SUGGEST |
| | '10': QUESTION |
| | '11': REJECT |
| | '12': SOLICITATION-REQ_CLARIFICATION |
| | '13': STATEMENT |
| | '14': TALK-ABOUT-SELF |
| | - name: Idx |
| | dtype: int32 |
| | splits: |
| | - name: train |
| | num_bytes: 244336 |
| | num_examples: 1986 |
| | - name: validation |
| | num_bytes: 33988 |
| | num_examples: 230 |
| | - name: test |
| | num_bytes: 145376 |
| | num_examples: 971 |
| | download_size: 349993 |
| | dataset_size: 423700 |
| | - config_name: loria |
| | features: |
| | - name: Speaker |
| | dtype: string |
| | - name: Utterance |
| | dtype: string |
| | - name: Dialogue_Act |
| | dtype: string |
| | - name: Dialogue_ID |
| | dtype: string |
| | - name: File_ID |
| | dtype: string |
| | - name: Label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': ack |
| | '1': ask |
| | '2': find_mold |
| | '3': find_plans |
| | '4': first_step |
| | '5': greet |
| | '6': help |
| | '7': inform |
| | '8': inform_engine |
| | '9': inform_job |
| | '10': inform_material_space |
| | '11': informer_conditioner |
| | '12': informer_decoration |
| | '13': informer_elcomps |
| | '14': informer_end_manufacturing |
| | '15': kindAtt |
| | '16': manufacturing_reqs |
| | '17': next_step |
| | '18': 'no' |
| | '19': other |
| | '20': quality_control |
| | '21': quit |
| | '22': reqRep |
| | '23': security_policies |
| | '24': staff_enterprise |
| | '25': staff_job |
| | '26': studies_enterprise |
| | '27': studies_job |
| | '28': todo_failure |
| | '29': todo_irreparable |
| | '30': 'yes' |
| | - name: Idx |
| | dtype: int32 |
| | splits: |
| | - name: train |
| | num_bytes: 1208730 |
| | num_examples: 8465 |
| | - name: validation |
| | num_bytes: 133829 |
| | num_examples: 942 |
| | - name: test |
| | num_bytes: 149855 |
| | num_examples: 1047 |
| | download_size: 1221132 |
| | dataset_size: 1492414 |
| | - config_name: maptask |
| | features: |
| | - name: Speaker |
| | dtype: string |
| | - name: Utterance |
| | dtype: string |
| | - name: Dialogue_Act |
| | dtype: string |
| | - name: Dialogue_ID |
| | dtype: string |
| | - name: File_ID |
| | dtype: string |
| | - name: Label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': acknowledge |
| | '1': align |
| | '2': check |
| | '3': clarify |
| | '4': explain |
| | '5': instruct |
| | '6': query_w |
| | '7': query_yn |
| | '8': ready |
| | '9': reply_n |
| | '10': reply_w |
| | '11': reply_y |
| | - name: Idx |
| | dtype: int32 |
| | splits: |
| | - name: train |
| | num_bytes: 1910120 |
| | num_examples: 25382 |
| | - name: validation |
| | num_bytes: 389879 |
| | num_examples: 5221 |
| | - name: test |
| | num_bytes: 396947 |
| | num_examples: 5335 |
| | download_size: 1729021 |
| | dataset_size: 2696946 |
| | - config_name: vm2 |
| | features: |
| | - name: Utterance |
| | dtype: string |
| | - name: Dialogue_Act |
| | dtype: string |
| | - name: Speaker |
| | dtype: string |
| | - name: Dialogue_ID |
| | dtype: string |
| | - name: Label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': ACCEPT |
| | '1': BACKCHANNEL |
| | '2': BYE |
| | '3': CLARIFY |
| | '4': CLOSE |
| | '5': COMMIT |
| | '6': CONFIRM |
| | '7': DEFER |
| | '8': DELIBERATE |
| | '9': DEVIATE_SCENARIO |
| | '10': EXCLUDE |
| | '11': EXPLAINED_REJECT |
| | '12': FEEDBACK |
| | '13': FEEDBACK_NEGATIVE |
| | '14': FEEDBACK_POSITIVE |
| | '15': GIVE_REASON |
| | '16': GREET |
| | '17': INFORM |
| | '18': INIT |
| | '19': INTRODUCE |
| | '20': NOT_CLASSIFIABLE |
| | '21': OFFER |
| | '22': POLITENESS_FORMULA |
| | '23': REJECT |
| | '24': REQUEST |
| | '25': REQUEST_CLARIFY |
| | '26': REQUEST_COMMENT |
| | '27': REQUEST_COMMIT |
| | '28': REQUEST_SUGGEST |
| | '29': SUGGEST |
| | '30': THANK |
| | - name: Idx |
| | dtype: int32 |
| | splits: |
| | - name: train |
| | num_bytes: 1869254 |
| | num_examples: 25060 |
| | - name: validation |
| | num_bytes: 209390 |
| | num_examples: 2860 |
| | - name: test |
| | num_bytes: 209032 |
| | num_examples: 2855 |
| | download_size: 1641453 |
| | dataset_size: 2287676 |
| | config_names: |
| | - dihana |
| | - ilisten |
| | - loria |
| | - maptask |
| | - vm2 |
| | --- |
| | |
| | # Dataset Card for MIAM |
| |
|
| | ## Table of Contents |
| | - [Dataset Description](#dataset-description) |
| | - [Dataset Summary](#dataset-summary) |
| | - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
| | - [Languages](#languages) |
| | - [Dataset Structure](#dataset-structure) |
| | - [Data Instances](#data-instances) |
| | - [Data Fields](#data-fields) |
| | - [Data Splits](#data-splits) |
| | - [Dataset Creation](#dataset-creation) |
| | - [Curation Rationale](#curation-rationale) |
| | - [Source Data](#source-data) |
| | - [Annotations](#annotations) |
| | - [Personal and Sensitive Information](#personal-and-sensitive-information) |
| | - [Considerations for Using the Data](#considerations-for-using-the-data) |
| | - [Social Impact of Dataset](#social-impact-of-dataset) |
| | - [Discussion of Biases](#discussion-of-biases) |
| | - [Other Known Limitations](#other-known-limitations) |
| | - [Additional Information](#additional-information) |
| | - [Dataset Curators](#dataset-curators) |
| | - [Licensing Information](#licensing-information) |
| | - [Citation Information](#citation-information) |
| | - [Contributions](#contributions) |
| |
|
| | ## Dataset Description |
| |
|
| | - **Homepage:** [N/A] |
| | - **Repository:** [N/A] |
| | - **Paper:** [N/A] |
| | - **Leaderboard:** [N/A] |
| | - **Point of Contact:** [N/A] |
| |
|
| | ### Dataset Summary |
| |
|
| | Multilingual dIalogAct benchMark is a collection of resources for training, evaluating, and |
| | analyzing natural language understanding systems specifically designed for spoken language. Datasets |
| | are in English, French, German, Italian and Spanish. They cover a variety of domains including |
| | spontaneous speech, scripted scenarios, and joint task completion. All datasets contain dialogue act |
| | labels. |
| |
|
| | ### Supported Tasks and Leaderboards |
| |
|
| | [More Information Needed] |
| |
|
| | ### Languages |
| |
|
| | English, French, German, Italian, Spanish. |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Instances |
| |
|
| | #### Dihana Corpus |
| | For the `dihana` configuration one example from the dataset is: |
| | ``` |
| | { |
| | 'Speaker': 'U', |
| | 'Utterance': 'Hola , quería obtener el horario para ir a Valencia', |
| | 'Dialogue_Act': 9, # 'Pregunta' ('Request') |
| | 'Dialogue_ID': '0', |
| | 'File_ID': 'B209_BA5c3', |
| | } |
| | ``` |
| |
|
| | #### iLISTEN Corpus |
| | For the `ilisten` configuration one example from the dataset is: |
| | ``` |
| | { |
| | 'Speaker': 'T_11_U11', |
| | 'Utterance': 'ok, grazie per le informazioni', |
| | 'Dialogue_Act': 6, # 'KIND-ATTITUDE_SMALL-TALK' |
| | 'Dialogue_ID': '0', |
| | } |
| | ``` |
| |
|
| | #### LORIA Corpus |
| | For the `loria` configuration one example from the dataset is: |
| | ``` |
| | { |
| | 'Speaker': 'Samir', |
| | 'Utterance': 'Merci de votre visite, bonne chance, et à la prochaine !', |
| | 'Dialogue_Act': 21, # 'quit' |
| | 'Dialogue_ID': '5', |
| | 'File_ID': 'Dial_20111128_113927', |
| | } |
| | ``` |
| |
|
| | #### HCRC MapTask Corpus |
| | For the `maptask` configuration one example from the dataset is: |
| | ``` |
| | { |
| | 'Speaker': 'f', |
| | 'Utterance': 'is it underneath the rope bridge or to the left', |
| | 'Dialogue_Act': 6, # 'query_w' |
| | 'Dialogue_ID': '0', |
| | 'File_ID': 'q4ec1', |
| | } |
| | ``` |
| |
|
| | #### VERBMOBIL |
| | For the `vm2` configuration one example from the dataset is: |
| | ``` |
| | { |
| | 'Utterance': 'ja was sind viereinhalb Stunden Bahngerüttel gegen siebzig Minuten Turbulenzen im Flugzeug', |
| | 'Utterance': 'Utterance', |
| | 'Dialogue_Act': 'Dialogue_Act', # 'INFORM' |
| | 'Speaker': 'A', |
| | 'Dialogue_ID': '66', |
| | } |
| | ``` |
| |
|
| | ### Data Fields |
| |
|
| | For the `dihana` configuration, the different fields are: |
| | - `Speaker`: identifier of the speaker as a string. |
| | - `Utterance`: Utterance as a string. |
| | - `Dialogue_Act`: Dialog act label of the utterance. It can be one of 'Afirmacion' (0) [Feedback_positive], 'Apertura' (1) [Opening], 'Cierre' (2) [Closing], 'Confirmacion' (3) [Acknowledge], 'Espera' (4) [Hold], 'Indefinida' (5) [Undefined], 'Negacion' (6) [Feedback_negative], 'No_entendido' (7) [Request_clarify], 'Nueva_consulta' (8) [New_request], 'Pregunta' (9) [Request] or 'Respuesta' (10) [Reply]. |
| | - `Dialogue_ID`: identifier of the dialogue as a string. |
| | - `File_ID`: identifier of the source file as a string. |
| |
|
| | For the `ilisten` configuration, the different fields are: |
| | - `Speaker`: identifier of the speaker as a string. |
| | - `Utterance`: Utterance as a string. |
| | - `Dialogue_Act`: Dialog act label of the utterance. It can be one of 'AGREE' (0), 'ANSWER' (1), 'CLOSING' (2), 'ENCOURAGE-SORRY' (3), 'GENERIC-ANSWER' (4), 'INFO-REQUEST' (5), 'KIND-ATTITUDE_SMALL-TALK' (6), 'OFFER-GIVE-INFO' (7), 'OPENING' (8), 'PERSUASION-SUGGEST' (9), 'QUESTION' (10), 'REJECT' (11), 'SOLICITATION-REQ_CLARIFICATION' (12), 'STATEMENT' (13) or 'TALK-ABOUT-SELF' (14). |
| | - `Dialogue_ID`: identifier of the dialogue as a string. |
| |
|
| | For the `loria` configuration, the different fields are: |
| | - `Speaker`: identifier of the speaker as a string. |
| | - `Utterance`: Utterance as a string. |
| | - `Dialogue_Act`: Dialog act label of the utterance. It can be one of 'ack' (0), 'ask' (1), 'find_mold' (2), 'find_plans' (3), 'first_step' (4), 'greet' (5), 'help' (6), 'inform' (7), 'inform_engine' (8), 'inform_job' (9), 'inform_material_space' (10), 'informer_conditioner' (11), 'informer_decoration' (12), 'informer_elcomps' (13), 'informer_end_manufacturing' (14), 'kindAtt' (15), 'manufacturing_reqs' (16), 'next_step' (17), 'no' (18), 'other' (19), 'quality_control' (20), 'quit' (21), 'reqRep' (22), 'security_policies' (23), 'staff_enterprise' (24), 'staff_job' (25), 'studies_enterprise' (26), 'studies_job' (27), 'todo_failure' (28), 'todo_irreparable' (29), 'yes' (30) |
| | - `Dialogue_ID`: identifier of the dialogue as a string. |
| | - `File_ID`: identifier of the source file as a string. |
| |
|
| | For the `maptask` configuration, the different fields are: |
| | - `Speaker`: identifier of the speaker as a string. |
| | - `Utterance`: Utterance as a string. |
| | - `Dialogue_Act`: Dialog act label of the utterance. It can be one of 'acknowledge' (0), 'align' (1), 'check' (2), 'clarify' (3), 'explain' (4), 'instruct' (5), 'query_w' (6), 'query_yn' (7), 'ready' (8), 'reply_n' (9), 'reply_w' (10) or 'reply_y' (11). |
| | - `Dialogue_ID`: identifier of the dialogue as a string. |
| | - `File_ID`: identifier of the source file as a string. |
| |
|
| | For the `vm2` configuration, the different fields are: |
| | - `Utterance`: Utterance as a string. |
| | - `Dialogue_Act`: Dialogue act label of the utterance. It can be one of 'ACCEPT' (0), 'BACKCHANNEL' (1), 'BYE' (2), 'CLARIFY' (3), 'CLOSE' (4), 'COMMIT' (5), 'CONFIRM' (6), 'DEFER' (7), 'DELIBERATE' (8), 'DEVIATE_SCENARIO' (9), 'EXCLUDE' (10), 'EXPLAINED_REJECT' (11), 'FEEDBACK' (12), 'FEEDBACK_NEGATIVE' (13), 'FEEDBACK_POSITIVE' (14), 'GIVE_REASON' (15), 'GREET' (16), 'INFORM' (17), 'INIT' (18), 'INTRODUCE' (19), 'NOT_CLASSIFIABLE' (20), 'OFFER' (21), 'POLITENESS_FORMULA' (22), 'REJECT' (23), 'REQUEST' (24), 'REQUEST_CLARIFY' (25), 'REQUEST_COMMENT' (26), 'REQUEST_COMMIT' (27), 'REQUEST_SUGGEST' (28), 'SUGGEST' (29), 'THANK' (30). |
| | - `Speaker`: Speaker as a string. |
| | - `Dialogue_ID`: identifier of the dialogue as a string. |
| |
|
| | ### Data Splits |
| |
|
| | | Dataset name | Train | Valid | Test | |
| | | ------------ | ----- | ----- | ---- | |
| | | dihana | 19063 | 2123 | 2361 | |
| | | ilisten | 1986 | 230 | 971 | |
| | | loria | 8465 | 942 | 1047 | |
| | | maptask | 25382 | 5221 | 5335 | |
| | | vm2 | 25060 | 2860 | 2855 | |
| |
|
| | ## Dataset Creation |
| |
|
| | ### Curation Rationale |
| |
|
| | [More Information Needed] |
| |
|
| | ### Source Data |
| |
|
| | #### Initial Data Collection and Normalization |
| |
|
| | [More Information Needed] |
| |
|
| | #### Who are the source language producers? |
| |
|
| | [More Information Needed] |
| |
|
| | ### Annotations |
| |
|
| | #### Annotation process |
| |
|
| | [More Information Needed] |
| |
|
| | #### Who are the annotators? |
| |
|
| | [More Information Needed] |
| |
|
| | ### Personal and Sensitive Information |
| |
|
| | [More Information Needed] |
| |
|
| | ## Considerations for Using the Data |
| |
|
| | ### Social Impact of Dataset |
| |
|
| | [More Information Needed] |
| |
|
| | ### Discussion of Biases |
| |
|
| | [More Information Needed] |
| |
|
| | ### Other Known Limitations |
| |
|
| | [More Information Needed] |
| |
|
| | ## Additional Information |
| |
|
| | ### Dataset Curators |
| |
|
| | Anonymous. |
| |
|
| | ### Licensing Information |
| |
|
| | This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Unported License](https://creativecommons.org/licenses/by-sa/4.0/). |
| |
|
| | ### Citation Information |
| |
|
| | ``` |
| | @inproceedings{colombo-etal-2021-code, |
| | title = "Code-switched inspired losses for spoken dialog representations", |
| | author = "Colombo, Pierre and |
| | Chapuis, Emile and |
| | Labeau, Matthieu and |
| | Clavel, Chlo{\'e}", |
| | booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing", |
| | month = nov, |
| | year = "2021", |
| | address = "Online and Punta Cana, Dominican Republic", |
| | publisher = "Association for Computational Linguistics", |
| | url = "https://aclanthology.org/2021.emnlp-main.656", |
| | doi = "10.18653/v1/2021.emnlp-main.656", |
| | pages = "8320--8337", |
| | abstract = "Spoken dialogue systems need to be able to handle both multiple languages and multilinguality inside a conversation (\textit{e.g} in case of code-switching). In this work, we introduce new pretraining losses tailored to learn generic multilingual spoken dialogue representations. The goal of these losses is to expose the model to code-switched language. In order to scale up training, we automatically build a pretraining corpus composed of multilingual conversations in five different languages (French, Italian, English, German and Spanish) from OpenSubtitles, a huge multilingual corpus composed of 24.3G tokens. We test the generic representations on MIAM, a new benchmark composed of five dialogue act corpora on the same aforementioned languages as well as on two novel multilingual tasks (\textit{i.e} multilingual mask utterance retrieval and multilingual inconsistency identification). Our experiments show that our new losses achieve a better performance in both monolingual and multilingual settings.", |
| | } |
| | ``` |
| |
|
| | ### Contributions |
| |
|
| | Thanks to [@eusip](https://github.com/eusip) and [@PierreColombo](https://github.com/PierreColombo) for adding this dataset. |
