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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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