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@@ -83,7 +83,7 @@ For more information, you can look at the following documents:
83
  <td><a href="https://www.statmt.org/europarl/">Europarl</a></td>
84
  <td>The Europarl parallel corpus</td>
85
  <td>56M</td>
86
- <td>-</td>
87
  <td>11K</td>
88
  <td>No copyright restrictions. If you use this data in your research, please contact phi@jhu.edu</td>
89
  </tr>
@@ -93,17 +93,17 @@ For more information, you can look at the following documents:
93
  <td><a href="https://anc.org/data/oanc/contents/#charlotte">Charlotte Narratives</a></td>
94
  <td>The Charlotte Narrative and Conversation Collection (CNCC) contains 95 narratives, conversations and interviews representative of the residents of Mecklenburg County, North Carolina and surrounding North Carolina communities.</td>
95
  <td>200K</td>
96
- <td>-</td>
97
  <td>93</td>
98
- <td><a href="[https://anc.org/data/oanc/contents/#charlotte](https://anc.org/data/oanc/contents/#charlotte](https://anc.org/data/oanc/download/)">Available for download and use for research and development, including commercial development.</a></td>
99
  </tr>
100
  <tr>
101
  <td><a href="https://anc.org/data/oanc/contents/#switchboard">Switchboard</a></td>
102
  <td>The corpus consists of approximately 260 hours of speech and was originally collected by Texas Instruments in 1990-1, under DARPA sponsorship.</td>
103
  <td>3M</td>
104
- <td>-</td>
105
  <td>2320</td>
106
- <td><a href="https://catalog.ldc.upenn.edu/LDC97S62">LDC User Agreement for Non-Members</a></td>
107
  </tr>
108
 
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  <tr>
@@ -112,7 +112,7 @@ For more information, you can look at the following documents:
112
  <td><a href="https://huggingface.co/datasets/ccdv/mediasum">MediaSum</a></td>
113
  <td>MediaSum dataset for summarization</td>
114
  <td>720M</td>
115
- <td>-</td>
116
  <td>458K</td>
117
  <td><a href="https://github.com/zcgzcgzcg1/MediaSum">For research purposes only</a></td>
118
  </tr>
@@ -123,15 +123,15 @@ For more information, you can look at the following documents:
123
  <td><a href="https://groups.inf.ed.ac.uk/ami/corpus/">AMI</a></td>
124
  <td>The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings.</td>
125
  <td>712K</td>
126
- <td>-</td>
127
- <td><1K</td>
128
  <td><a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></td>
129
  </tr>
130
  <tr>
131
  <td><a href="https://groups.inf.ed.ac.uk/ami/icsi/">ICSI</a></td>
132
  <td>About 70 hours of meeting recordings.</td>
133
  <td>804K</td>
134
- <td>-</td>
135
  <td><1K</td>
136
  <td><a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></td>
137
  </tr>
@@ -141,49 +141,49 @@ For more information, you can look at the following documents:
141
  <tr>
142
  <td><a href="https://redialdata.github.io/website/">ReDial</a></td>
143
  <td>ReDial (Recommendation Dialogues) is an annotated dataset of dialogues, where users recommend movies to each other.</td>
144
- <td>1.6M</td>
145
- <td>-</td>
146
- <td>-</td>
147
  <td><a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></td>
148
  </tr>
149
  <tr>
150
  <td><a href="https://github.com/facebookresearch/opendialkg">OpenDialKG</a></td>
151
  <td>OpenDialKG is a dataset of conversations between two crowdsourcing agents engaging in a dialog about a given topic.</td>
152
  <td>1M</td>
153
- <td>-</td>
154
- <td>-</td>
155
  <td><a href="https://creativecommons.org/licenses/by-nc/4.0/legalcode">CC-BY-NC-4.0</a></td>
156
  </tr>
157
  <tr>
158
  <td><a href="https://github.com/asappresearch/abcd">ABCD</a></td>
159
  <td>Action-Based Conversations Dataset.</td>
160
  <td>1.5M</td>
161
- <td>-</td>
162
- <td>-</td>
163
  <td><a href="https://github.com/asappresearch/abcd/blob/master/LICENSE">MIT</a></td>
164
  </tr>
165
  <tr>
166
  <td><a href="https://github.com/google/airdialogue">AirDialogue</a></td>
167
  <td>AirDialogue is a benchmark dataset for goal-oriented dialogue generation research.</td>
168
  <td>37M</td>
169
- <td>-</td>
170
- <td>-</td>
171
  <td><a href="https://github.com/google/airdialogue/blob/master/LICENSE">Apache License 2.0</a></td>
172
  </tr>
173
  <tr>
174
  <td><a href="https://huggingface.co/datasets/pfb30/multi_woz_v22">MULTIWOZ2_2</a></td>
175
  <td>Multi-Domain Wizard-of-Oz dataset (MultiWOZ), a fully-labeled collection of human-human written conversations spanning over multiple domains and topics.</td>
176
  <td>1.9M</td>
177
- <td>-</td>
178
- <td>-</td>
179
  <td><a href="https://choosealicense.com/licenses/apache-2.0/">Apache License 2.0</a></td>
180
  </tr>
181
  <tr>
182
  <td><a href="https://github.com/awslabs/multi-domain-goal-oriented-dialogues-dataset">MulDoGO</a></td>
183
  <td>Conversations from the airline, fastfood, finance, insurance, media, and software domains.</td>
184
  <td>10M</td>
185
- <td>-</td>
186
- <td>-</td>
187
  <td><a href="https://github.com/awslabs/multi-domain-goal-oriented-dialogues-dataset/blob/master/LICENSE.txt">CDLA Permissive License</a></td>
188
  </tr>
189
 
@@ -201,7 +201,7 @@ For more information, you can look at the following documents:
201
  <td><a href="https://huggingface.co/datasets/li2017dailydialog/daily_dialog">DailyDialog</a></td>
202
  <td>High-quality multi-turn dialog dataset.</td>
203
  <td>1.2M</td>
204
- <td>-</td>
205
  <td>13K</td>
206
  <td><a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">CC BY-NC-SA 4.0</a></td>
207
  </tr>
@@ -213,8 +213,8 @@ For more information, you can look at the following documents:
213
  <td><a href="">British National Corpus (BNC)</a></td>
214
  <td>Collection of samples of written and spoken language from a wide range of sources, designed to represent a wide cross-section of British English, both spoken and written, from the late twentieth century.</td>
215
  <td>110M</td>
216
- <td>-</td>
217
- <td>1K</td>
218
  <td><a href="http://www.natcorp.ox.ac.uk/docs/licence.html">BCN License</a></td>
219
  </tr>
220
 
@@ -304,64 +304,41 @@ When using the CEDD corpus, please cite this page:
304
 
305
  You should also provide citations for all of the original corpora. They are listed below.
306
 
307
- * **Accueil UBS**
308
- * Pascale Nicolas, Sabine Letellier-Zarshenas, Igor Schadle, Jean-Yves Antoine, Jean Caelen (2002). [Towards a large corpus of spoken dialogue in French that will be freely available: the "Parole Publique" project and its first realisations](https://www.info.univ-tours.fr/~antoine/parole_publique/articles/2002_LREC_CORP.pdf). _Third European Conference on Language Resources and Evaluation_ (LREC). Las Palmas de Gran Canaria, Espagne.
309
- * Jean-Yves Antoine, Jerome Goulian, Jeanne Villaneau, Marc le Tallec (2009). [Word Order Phenomena in Spoken French : a Study on Four Corpora of Task-Oriented Dialogue and its Consequences on Language Processing](https://www.info.univ-tours.fr/~antoine/articles/2009_Corpus_Linguistics.pdf). _Corpus Linguistics_, Liverpool, UK.
310
- * **ACSYNT**
311
- * Cognition, Langue, Langages, Ergonomie - UMR 5263 (CLLE) (2013). [ACSYNT [Corpus]](https://hdl.handle.net/11403/sldr000832/v1). [ORTOLANG](www.ortolang.fr) (Open Resources and TOols for LANGuage).
312
- * **CFPP**
313
- * Branca-Rosoff S., Fleury S., Lefeuvre F., Pires M., 2012, [Discours sur la ville. Présentation du Corpus de Français Parlé Parisien des années 2000](http://cfpp2000.univ-paris3.fr/CFPP2000.pdf) (CFPP2000).
314
- * CLESTHIA - Langage, systèmes, discours - EA 7345 (CLESTHIA) (2018). [CFPP2000 [Corpus]](https://hdl.handle.net/11403/cfpp2000/v1). [ORTOLANG](www.ortolang.fr) (Open Resources and TOols for LANGuage), v1.
315
- * **CID**
316
- * Roxane Bertrand, Philippe Blache, Robert Espesser, Gaëlle Ferré, Christine Meunier, Béatrice Priego-Valverde, Stéphane Rauzy (2008). [Le CID Corpus of Interactional Data Annotation et Exploitation Multimodale de Parole Conversationnelle](https://hal.science/hal-00349893). _Traitement Automatique des Langues_, vol. 49, no. 3.
317
- * Philippe Blache, Roxane Bertrand, Brigitte Bigi et al. (2010). [Multimodal annotation of conversational data](http://portal.acm.org/citation.cfm?id=1868749). _Proceedings of the Fourth Linguistic Annotation Workshop_.
318
- * Laboratoire parole et langage - UMR 7309 (LPL) (2021). [Transcriptions du corpus CID [Corpus]](https://hdl.handle.net/11403/sldr000720/v1). [ORTOLANG](www.ortolang.fr) (Open Resources and TOols for LANGuage).
319
- * **CLAPI**
320
- * CLAPI, [http://clapi.icar.cnrs.fr](http://clapi.icar.cnrs.fr)
321
- * Groupe ICOR (H. Baldauf-Quilliatre, I. Colon de Carvajal, C. Etienne, E. Jouin-Chardon, S. Teston-Bonnard, V. Traverso) (2016). [CLAPI, une base de données multimodale pour la parole en interaction : apports et dilemmes](https://shs.hal.science/halshs-01316283/). In Avanzi M., Béguelin M.-J. & Diémoz F. (eds), _Corpus de français parlés et français parlés des corpus, Corpus_ 15.
322
- * **ESLO**
323
- * Iris Eshkol-Taravella, Olivier Baude, Denis Maurel, Linda Hriba, Céline Dugua, Isabelle Tellier (2012). Un grand corpus oral « disponible » : le corpus d’Orléans 1968-2012, _Ressources linguistiques libres, TAL_. Volume 52 – n° 3/2011, 17-46.
324
- * Laboratoire Ligérien de Linguistique - UMR 7270 (LLL) (2023). [ESLO [Corpus]](https://hdl.handle.net/11403/eslo/v1). [ORTOLANG](www.ortolang.fr) (Open Resources and TOols for LANGuage), v1.
325
- * **FREDSum**
326
- * Virgile Rennard, Guokan Shang, Damien Grari, Julie Hunter, Michalis Vazirgiannis (forthcoming). FREDSum: A Dialogue Summarization Corpus for French Political Debates. _Findings of Empirical Methods in Natural Language Processsing_ (EMNLP).
327
- * **LinTO**
328
- * Lila Gravellier, Julie Hunter, Philippe Muller, Thomas Pellegrini, Isabelle Ferrané (2021).
329
- [Weakly Supervised Discourse Segmentation for Multiparty Oral Conversation](https://aclanthology.org/2021.emnlp-main.104/).
330
- _The 2021 Conference on Empirical Methods in Natural Language Processing_ (EMNLP), pp. 1381–1392.
331
- * **OFROM**
332
- * Mathieu Avanzi, Marie-José Béguelin, Gilles Corminboeuf, Federica Diémoz, Laure Anne Johnsen (2012-2023). [Corpus OFROM Corpus oral de français de Suisse romande](ofrom.unine.ch). Université de Neuchâtel.
333
- * Mathieu Avanzi, Marie-José Béguelin, Federica Diémoz (2016). [Présentation du corpus OFROM – Corpus oral de français de Suisse romande](ofrom.unine.ch/uploads/Documents/AM-MJB-FD_GC_LAJ_OFROM_23.pdf). Université de Neuchâtel.
334
- * Mathieu Avanzi, Marie-José Béguelin, Federica Diémoz (2016). De l’archive de parole au corpus de référence. Le corpus oral de français de Suisse romande (OFROM). _Actes du colloque Corpus de Français Parlés et Français Parlés des Corpus_ (= Corpus 15), 309-342.
335
- * Gilles Corminboeuf, Julie Rothenbühler, Maguelone Sauzet (éds) (2020). [Français parlés et français ‘tout court’](studialinguisticaromanica.org/index.php/slr/issue/view/4). _Studia Linguistica Romanica_ n°4, publication électronique.
336
- * **ORFEO** (pour chaque corpus issu du projet ORFEO)
337
- * Jeanne-Marie Debaisieux, Christophe Benzitoun, Henri-José Deulofeu. Le projet ORFÉO : un corpus d’étude pour le français contemporain, _Corpus 15_, Actes du colloque Corpus de Français Parlés et Français Parlés des Corpus.
338
- * Carruthers, Janice (2008). Annotating an Oral Corpus using the Text Encoding Initiative. Methodology, Problems, Solutions, _Journal of French Language Studies_ 18(1), 103-119.
339
- * Agnès Tutin, Francis Grossmann (2014). _L’écrit scientifique : du lexique au discours. Autour de Scientext_. Presses de l’Université de Rennes.
340
- * **ORFEO/CFPB**
341
- * Anne Dister, Emmanuelle Labeau (2017). [Le corpus de français parlé à Bruxelles: origines, hypothèses, développements et prédictions](https://www.semanticscholar.org/paper/Le-corpus-de-fran%C3%A7ais-parl%C3%A9-%C3%A0-Bruxelles%3A-origines%2C-Dister-Labeau/0fe858f6b8c1ce49a2e43b34494c2e76922162fa).
342
- * **ORFEO/C-Oral-Rom**
343
- * Cresti Emanuela, Bacelar do Nascimento Fernanda, Moreno Sandoval Antonio, Veronis Jean, Martin Philippe, Kalid Choukri (2005). The C-ORAL-ROM CORPUS: A Multilingual Resource of Spontaneous Speech for Romance Languages. _Studies in Corpus Linguistics_, 15. John Benjamins Publishing Company 304 pp. (incl. DVD).
344
- * **ORFEO/CRFP**
345
- * Équipe Delic (2004). Recherches sur le français parlé n° 18, « Autour du Corpus de référence du français parlé » Publications de l’université de Provence, 265 p.
346
- * **ORFEO/Valibel**
347
- * Anne Dister, Michel Francard, Philippe Hambye, Anne-Catherine Simon (2009). [Du corpus à la banque de données. Du son, des textes et des métadonnées. L'évolution de banque de données textuelles orales VALIBEL (1989-2009)](https://cdn.uclouvain.be/public/Exports%20reddot/valibel/documents/Dister_et_al_2009_Cahiers.pdf), _Cahiers de Linguistique_ 33/2, 113-129.
348
- * **OTG**
349
- * Pascale Nicolas, Sabine Letellier-Zarshenas, Igor Schadle, Jean-Yves Antoine, Jean Caelen (2002). [Towards a large corpus of spoken dialogue in French that will be freely available: the "Parole Publique" project and its first realisations](https://www.info.univ-tours.fr/~antoine/parole_publique/articles/2002_LREC_CORP.pdf). _Third European Conference on Language Resources and Evaluation_ (LREC). Las Palmas de Gran Canaria, Espagne.
350
- * Jean-Yves Antoine, Sabine Letellier-Zarshenas, Pascale Nicolas, Igor Schadle (2002). [Corpus OTG et ECOLE_MASSY : vers la constitution d’un collection de corpus francophones de dialogue oral diffusés librement](https://www.info.univ-tours.fr/~antoine/parole_publique/articles/2002_TALN_CORP.pdf). _Actes TALN_ 2002. Nancy, France.
351
- * **Paris Stories**
352
- * Sylvain Kahane, Bernard Caron, Emmett Strickland, Kim Gerdes. Annotation guidelines of UD and SUD treebanks for spoken corpora: A proposal. _Proceedings of the 20th International Workshop on Treebanks and Linguistic Theories_ (TLT, SyntaxFest 2021).
353
- * **PFC**
354
- * Jacques Durand, Bernard Laks, Chantal Lyche (2009). Le projet PFC: une source de données primaires structurées. In J. Durand, B. Laks et C. Lyche (eds)(2009) _Phonologie, variation et accents du français_. Paris: Hermès. pp. 19-61.
355
- * Modèles, Dynamiques, Corpus - UMR 7114 (MoDyCo), Université de Groningen (RUG) (2017). [PFC - Phonologie du Français Contemporain [Corpus]](https://hdl.handle.net/11403/pfc/v1). [ORTOLANG](www.ortolang.fr) (Open Resources and TOols for LANGuage), v1.
356
- * **Rhapsodie**
357
- * see [https://rhapsodie.modyco.fr/propriete-intellectuelle/](https://rhapsodie.modyco.fr/propriete-intellectuelle/)
358
- * **SUMM-RE**
359
- * Hiroyoshi Yamasaki, Jérôme Louradour, Julie Hunter, Laurent Prévot (forthcoming). Transcribing And Aligning Conversational Speech: A Hybrid Pipeline Applied To French Conversations. _Workshop on Automatic Speech Recognition and Understanding_ (ASRU).
360
- * **TCOF**
361
- * Analyse et Traitement Informatique de la Langue Française (2020). [TCOF : Traitement de Corpus Oraux en Français [Corpus]](https://www.ortolang.fr/market/corpora/tcof/v2.1). _ORTOLANG (Open Resources and TOols for LANGuage)_
362
- * **Theatre Classique**
363
- * French Drama Corpus (FreDraCor): A TEI P5 Version of Paul Fièvre's "Théâtre Classique" Corpus. Edited by Carsten Milling, Frank Fischer and Mathias Göbel. Hosted on GitHub, 2021 – [https://github.com/dracor-org/fredracor](https://github.com/dracor-org/fredracor)
364
-
365
 
366
  ## Contact
367
 
 
83
  <td><a href="https://www.statmt.org/europarl/">Europarl</a></td>
84
  <td>The Europarl parallel corpus</td>
85
  <td>56M</td>
86
+ <td>214K</td>
87
  <td>11K</td>
88
  <td>No copyright restrictions. If you use this data in your research, please contact phi@jhu.edu</td>
89
  </tr>
 
93
  <td><a href="https://anc.org/data/oanc/contents/#charlotte">Charlotte Narratives</a></td>
94
  <td>The Charlotte Narrative and Conversation Collection (CNCC) contains 95 narratives, conversations and interviews representative of the residents of Mecklenburg County, North Carolina and surrounding North Carolina communities.</td>
95
  <td>200K</td>
96
+ <td>2.7K</td>
97
  <td>93</td>
98
+ <td><a href="https://anc.org/data/oanc/download/">Available for download and use for research and development, including commercial development.</a></td>
99
  </tr>
100
  <tr>
101
  <td><a href="https://anc.org/data/oanc/contents/#switchboard">Switchboard</a></td>
102
  <td>The corpus consists of approximately 260 hours of speech and was originally collected by Texas Instruments in 1990-1, under DARPA sponsorship.</td>
103
  <td>3M</td>
104
+ <td>290K</td>
105
  <td>2320</td>
106
+ <td><a href="https://catalog.ldc.upenn.edu/LDC97S62">LDC User Ageement for Non-Members.</a></td>
107
  </tr>
108
 
109
  <tr>
 
112
  <td><a href="https://huggingface.co/datasets/ccdv/mediasum">MediaSum</a></td>
113
  <td>MediaSum dataset for summarization</td>
114
  <td>720M</td>
115
+ <td>13M</td>
116
  <td>458K</td>
117
  <td><a href="https://github.com/zcgzcgzcg1/MediaSum">For research purposes only</a></td>
118
  </tr>
 
123
  <td><a href="https://groups.inf.ed.ac.uk/ami/corpus/">AMI</a></td>
124
  <td>The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings.</td>
125
  <td>712K</td>
126
+ <td>75K</td>
127
+ <td>139</td>
128
  <td><a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></td>
129
  </tr>
130
  <tr>
131
  <td><a href="https://groups.inf.ed.ac.uk/ami/icsi/">ICSI</a></td>
132
  <td>About 70 hours of meeting recordings.</td>
133
  <td>804K</td>
134
+ <td>64K</td>
135
  <td><1K</td>
136
  <td><a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></td>
137
  </tr>
 
141
  <tr>
142
  <td><a href="https://redialdata.github.io/website/">ReDial</a></td>
143
  <td>ReDial (Recommendation Dialogues) is an annotated dataset of dialogues, where users recommend movies to each other.</td>
144
+ <td>1.5M</td>
145
+ <td>139K</td>
146
+ <td>11K</td>
147
  <td><a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></td>
148
  </tr>
149
  <tr>
150
  <td><a href="https://github.com/facebookresearch/opendialkg">OpenDialKG</a></td>
151
  <td>OpenDialKG is a dataset of conversations between two crowdsourcing agents engaging in a dialog about a given topic.</td>
152
  <td>1M</td>
153
+ <td>84K</td>
154
+ <td>12K</td>
155
  <td><a href="https://creativecommons.org/licenses/by-nc/4.0/legalcode">CC-BY-NC-4.0</a></td>
156
  </tr>
157
  <tr>
158
  <td><a href="https://github.com/asappresearch/abcd">ABCD</a></td>
159
  <td>Action-Based Conversations Dataset.</td>
160
  <td>1.5M</td>
161
+ <td>142K</td>
162
+ <td>10K</td>
163
  <td><a href="https://github.com/asappresearch/abcd/blob/master/LICENSE">MIT</a></td>
164
  </tr>
165
  <tr>
166
  <td><a href="https://github.com/google/airdialogue">AirDialogue</a></td>
167
  <td>AirDialogue is a benchmark dataset for goal-oriented dialogue generation research.</td>
168
  <td>37M</td>
169
+ <td>4.6M</td>
170
+ <td>361K</td>
171
  <td><a href="https://github.com/google/airdialogue/blob/master/LICENSE">Apache License 2.0</a></td>
172
  </tr>
173
  <tr>
174
  <td><a href="https://huggingface.co/datasets/pfb30/multi_woz_v22">MULTIWOZ2_2</a></td>
175
  <td>Multi-Domain Wizard-of-Oz dataset (MultiWOZ), a fully-labeled collection of human-human written conversations spanning over multiple domains and topics.</td>
176
  <td>1.9M</td>
177
+ <td>143K</td>
178
+ <td>10.4K</td>
179
  <td><a href="https://choosealicense.com/licenses/apache-2.0/">Apache License 2.0</a></td>
180
  </tr>
181
  <tr>
182
  <td><a href="https://github.com/awslabs/multi-domain-goal-oriented-dialogues-dataset">MulDoGO</a></td>
183
  <td>Conversations from the airline, fastfood, finance, insurance, media, and software domains.</td>
184
  <td>10M</td>
185
+ <td>892K</td>
186
+ <td>63K</td>
187
  <td><a href="https://github.com/awslabs/multi-domain-goal-oriented-dialogues-dataset/blob/master/LICENSE.txt">CDLA Permissive License</a></td>
188
  </tr>
189
 
 
201
  <td><a href="https://huggingface.co/datasets/li2017dailydialog/daily_dialog">DailyDialog</a></td>
202
  <td>High-quality multi-turn dialog dataset.</td>
203
  <td>1.2M</td>
204
+ <td>102K</td>102K</td>
205
  <td>13K</td>
206
  <td><a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">CC BY-NC-SA 4.0</a></td>
207
  </tr>
 
213
  <td><a href="">British National Corpus (BNC)</a></td>
214
  <td>Collection of samples of written and spoken language from a wide range of sources, designed to represent a wide cross-section of British English, both spoken and written, from the late twentieth century.</td>
215
  <td>110M</td>
216
+ <td>663K</td>
217
+ <td>0.9K</td>
218
  <td><a href="http://www.natcorp.ox.ac.uk/docs/licence.html">BCN License</a></td>
219
  </tr>
220
 
 
304
 
305
  You should also provide citations for all of the original corpora. They are listed below.
306
 
307
+ * **Europarl**
308
+ * Philipp Koehn (2005). [Europarl: A Parallel Corpus for Statistical Machine Translation](https://aclanthology.org/2005.mtsummit-papers.11/). _Proceedings of Machine Translation Summit X: Papers_, Phuket, Thailand.
309
+ * **Charlotte Narratives**
310
+ * [OANC link](https://anc.org/data/oanc/contents/#charlotte).
311
+ * **Switchboard**
312
+ * John J. Godfrey, Edward Holliman (1993). [Switchboard-1 Release 2](https://catalog.ldc.upenn.edu/LDC97S62), Linguistic Data Consortium (LDC), Philadelphia.
313
+ * **MediaSum**
314
+ * Zhu, Chenguang and Liu, Yang and Mei, Jie and Zeng, Michael (2021). [MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization](https://aclanthology.org/2021.naacl-main.474/). _arXiv preprint arXiv:2103.06410_.
315
+ * **AMI**
316
+ * I. McCowan, J. Carletta, W. Kraaij, S. Ashby, S. Bourban, M. Flynn, M. Guillemot, T. Hain, J. Kadlec, V. Karaiskos, M.Kronenthal, G. Lathoud, M. Lincoln, A. Lisowska, W. Post, D. Reidsma, and P. Wellne (2005). [The AMI meeting corpus: a pre-announcement](https://dl.acm.org/doi/10.1007/11677482_3), _Machine Learning for Multimodal Interaction_, Edinburgh, UK.
317
+ * **ICSI**
318
+ * Virgile Rennard, Guokan Shang, Julie Hunter, Michalis Vazirgiannis (2023). [Abstractive Meeting Summarization: A Survey](https://arxiv.org/abs/2208.04163). _TACL_, Cambridge, MA.
319
+ * **ReDial**
320
+ * Li, Raymond and Kahou, Samira Ebrahimi and Schulz, Hannes and Michalski, Vincent and Charlin, Laurent and Pal, Chris (2018). [Towards Deep Conversational Recommendations](https://link). _NeurIPS 2018_, Montreal.
321
+ * **OpenDialKG**
322
+ * Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba (2019). [OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs](https://aclanthology.org/P19-1081/). _ACL_, Florence, Italy.
323
+ * **ABCD**
324
+ * Derek Chen, Howard Chen, Yi Yang, Alexander Lin, Zhou Yu (2021). [Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems](https://aclanthology.org/2021.naacl-main.239/). _NAACL_, Online.
325
+ * **AirDialogue**
326
+ * Wei Wei, Quoc Le, Andrew Dai, Jia Li (2018). [paper title](https://aclanthology.org/D18-1419/). _EMNLP_, Brussels, Belgium.
327
+ * **MULTIWOZ2_2**
328
+ * Eric, Mihail and Goel, Rahul and Paul, Shachi and Sethi, Abhishek and Agarwal, Sanchit and Gao, Shuyag and Hakkani-Tur, Dilek (2019). [MultiWOZ 2.1: Multi-Domain Dialogue State Corrections and State Tracking Baselines](https://arxiv.org/abs/2007.12720). _arxiv_.
329
+ * **MultiDoGO**
330
+ * Denis Peskov, Nancy Clarke, Jason Krone, Brigi Fodor, Yi Zhang, Adel Youssef, Mona Diab (2019). [Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data](https://www.aclweb.org/anthology/D19-1460). _EMNLP_, Hong Kong, China.
331
+ * **Chit-Chat**
332
+ * Myers, Will and Etchart, Tyler and Fulda, Nancy (2020). [Conversational Scaffolding: An Analogy-based Approach to Response Prioritization in Open-domain Dialogs](https://www.scitepress.org/Papers/2020/89399/89399.pdf).
333
+ * **DailyDialog**
334
+ * Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, Shuzi Niu (2017). [DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset](https://aclanthology.org/I17-1099/). _IJCNLP_, Taipei, Taiwan.
335
+ * **British National Corpus (BNC)**
336
+ * [The British National Corpus online](http://www.natcorp.ox.ac.uk/).
337
+
338
+
339
+ Some of the listed datasets were collected from the DialogStudio compilation, which is also to be cited:
340
+ * **DialogStudio**
341
+ * Zhang, Jianguo and Qian, Kun and Liu, Zhiwei and Heinecke, Shelby and Meng, Rui and Liu, Ye and Yu, Zhou and Savarese, Silvio and Xiong, Caiming (2023). [DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI](https://arxiv.org/abs/2307.10172). _arXiv preprint arXiv:2307.10172_.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Contact
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