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README.md

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+---
+configs:
+- config_name: bundle-converted
+  description: Merge of all rdf converted datasets
+  data_files:
+  - path: ["dstc2-rdf/train.jsonl","multiwoz-rdf/train.jsonl","sfxdial-rdf/train.jsonl"]
+    split: train
+  - path: ["dstc2-rdf/test.jsonl","multiwoz-rdf/test.jsonl","sfxdial-rdf/test.jsonl"]
+    split: test
+  - path: ["dstc2-rdf/validation.jsonl","multiwoz-rdf/validation.jsonl","sfxdial-rdf/validation.jsonl"]
+    split: validation
+- config_name: bundle-simulated
+  description: Merge of all rdf simulated datasets
+  data_files:
+  - path: ["camrest-sim/train.jsonl","multiwoz-sim/train.jsonl"]
+    split: train
+  - path: ["camrest-sim/test.jsonl","multiwoz-rdf/multiwoz-sim.jsonl"]
+    split: test
+  - path: ["camrest-sim/validation.jsonl","multiwoz-sim/validation.jsonl"]
+    split: validation
+- config_name: dstc2
+  description: DSTC2 converted to rdf format
+  data_files:
+  - path: "dstc2-rdf/train.jsonl"
+    split: train
+  - path: "dstc2-rdf/test.jsonl"
+    split: test
+  - path: "dstc2-rdf/validation.jsonl"
+    split: validation
+- config_name: sfxdial
+  description: Sfxdial converted to rdf format
+  data_files:
+  - path: "sfxdial-rdf/train.jsonl"
+    split: train
+  - path: "sfxdial-rdf/test.jsonl"
+    split: test
+  - path: "sfxdial-rdf/validation.jsonl"
+    split: validation
+- config_name: multiwoz
+  description: MultiWoz converted to rdf format
+  data_files:
+  - path: "multiwoz-rdf/train.jsonl"
+    split: train
+  - path: "multiwoz-rdf/test.jsonl"
+    split: test
+  - path: "multiwoz-rdf/validation.jsonl"
+    split: validation
+- config_name: camrest-sim
+  description: Synthetic dialogs on the Cambridge restaurant search domain
+  data_files:
+  - path: "camrest-sim/train.jsonl"
+    split: train
+  - path: "camrest-sim/test.jsonl"
+    split: test
+  - path: "camrest-sim/validation.jsonl"
+    split: validation
+- config_name: multiwoz-sim
+  description: Synthetic dialogs on the Multiwoz domains
+  data_files:
+  - path: "multiwoz-sim/train.jsonl"
+    split: train
+  - path: "multiwoz-sim/test.jsonl"
+    split: test
+  - path: "multiwoz-sim/validation.jsonl"
+    split: validation
+tags:
+- dialogue
+- rdf
+- dst
+task_categories:
+- conversational
+- text-generation
+- text2text-generation
+task_ids:
+- dialogue-state-tracking
+- natural-language-generation
+license:
+- GPL 3.0
+- MIT
+- 'Attribution 2.0 UK: England & Wales'
+- CC BY-NC-SA 4.0
+packages:
+- python-gitlab
+language:
+- fr
+---
+
+# Dataset Card for rdfdial
+
+
+## Table of Contents
+- [Table of Contents](#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:** https://huggingface.co/Orange
+- **Repository:** https://huggingface.co/Orange/rdfdial
+- **Paper:** N/A
+- **Leaderboard:** N/A
+- **Point of Contact:** Morgan VEYRET; Lina Maria ROJAS BARAHONA
+
+### Dataset Summary
+
+This dataset provides dialogues annotated in dialogue acts and dialogue
+state in and RDF based formalism.
+
+There is a conversion of `sfxdial`, `dstc2` and `multiwoz2.3` datasets
+as well as two fully synthetic datasets created from simulated conversations:
+`camrest-sim` and `multiwoz-sim`.
+
+Original dataset before conversion are available here:
+- DSTC2: https://github.com/matthen/dstc
+- Multiwoz 2.3: https://github.com/thu-coai/ConvLab-2/tree/master/data/multiwoz2.3
+- SfxDial: https://www.repository.cam.ac.uk/items/62011578-23d4-4355-8878-5a150fb72b43
+
+### Supported Tasks and Leaderboards
+
+This dataset was used for the following tasks:
+- Natural Language Generation
+- Dialogue State Tracking
+
+### Languages
+
+This dataset includes the following languages:
+- English
+
+## Dataset Structure
+
+### Data Instances
+
+
+For all datasets, each item has this schema:
+
+```python
+{
+    "dialogue_id": "string",         # dialog identifier
+    "turns": [{                      # list of dialog turns
+        "id": "int8",                # dialog turn index in the conversation
+        "speaker": "string",         # speaker identifier ('user' or 'system')
+        "text": "string",            # speaker utterance
+        "rdf-acts": ["string"],      # string representation of dialog acts
+    }],
+    "states": [{                     # dialog states for each turn
+        "id": "int8",
+        "multi_relations": "bool",   # are multiple instances of relations allowed ?
+        "triples": [["string"]],     # triples representing the state
+        "turn_ids": ["int8"],        # ids of turns contributing to this state
+    }],
+}
+```
+
+### Data Fields
+
+For each dataset item, the following fields are provided:
+- `dialogue_id`: unique dialogue identifier
+- `turns`: list of speech turns, each turn contains the following fields:
+  - `id`: turn index in the dialogue
+  - `speaker`: identifier for the speaker (`user` or `system`)
+  - `text`: turn utterance
+  - `rdf-acts`: list of dialogue acts using string representation of rdf formalism
+  each act has the form: `act(triple;...)` where `triple` is formatted as
+  `(subject,predicate,object)`
+- `states`: list of states for the dialogue, each entry contains the following fields:
+  - `id`: state index in the dialogue
+  - `multi_relations`: boolean indicating if multiple instances of the same predicate are
+  allowed or not
+  - `triples`: list of triples representing the graph state, each triple is a list of 3 string like
+  `[subject,predicate,object]`
+  - `turn_ids`: list of turn ids that contributed to this state
+
+
+### Data Splits
+
+For each dataset, splits were generated randomly in the following proportions:
+- *train*: 80%
+- *validation*: 16%
+- *test*: 4%
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset has been created to work with graph base dialog state representation using
+generative models (T5 family).
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+- *Converted datasets*:
+  - DSTC2: https://github.com/matthen/dstc
+  - Multiwoz 2.3: https://github.com/thu-coai/ConvLab-2
+  - SfxDial: https://www.repository.cam.ac.uk/handle/1810/251304
+- *Synthetic datasets*: rule-based simulations
+
+#### Who are the source language producers?
+
+- *Converted datasets*: see original datasets documentation
+- *Synthetic datasets*: conversations were generated using an agenda-based user simulator and
+a rule based agent working directly with dialogue acts. These conversations were then augmented
+with natural language user/system utterances. Natural language generation was done using
+a T5-base model fine-tuned on the converted datasets.
+
+### Annotations
+
+#### Annotation process
+
+- *Converted datasets*: rule-based conversion of the user/system dialogue acts from slot-value
+to RDF based format. The dialogue state is created automatically using another rule based
+tracked working with triples. Some conversations could not be converted automatically and/or
+contained wrong/confusing annotations and were removed from the dataset compared to the
+original ones.
+- *Synthetic datasets*: simulation work at the annotation level and the dataset was augmented
+to include natural language information.
+
+#### Who are the annotators?
+
+All annotations were generated automatically.
+
+For dialogue acts:
+- converted data: rules were applied to convert slot-value based dialogue acts
+to rdf-based ones
+- synthetic data: rdf-based dialogue acts were directly generated by the dialogue simulation.
+
+For dialogue states, a rule based system was using taking rdf-based dialogue acts as
+its inputs.
+
+### Personal and Sensitive Information
+
+This dataset does not contains any personal or sensitive information.
+
+## 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
+
+[More Information Needed]
+
+### Licensing Information
+
+Converted datasets follow their original licenses:
+- DSTC2: [GPL 3.0](https://github.com/matthen/dstc/blob/master/LICENSE)
+- Multiwoz 2.3: [Apache 2.0](https://github.com/thu-coai/ConvLab-2/blob/master/LICENSE)
+- SfxDial: [Attribution 2.0 UK: England & Wales](https://creativecommons.org/licenses/by/2.0/uk/)
+
+Simulated conversation are provided with the following licenses:
+- camrest-sim: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode)
+- multiwoz-sim: [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode)
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+- Morgan Veyret

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