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articles/cognitive-services/language-service/conversational-language-understanding/concepts/data-formats.md

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ms.service: cognitive-services
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ms.subservice: language-service
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ms.topic: conceptual
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ms.date: 05/13/2022
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ms.date: 10/14/2022
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ms.author: aahi
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ms.custom: language-service-custom-clu
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---
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|`synonyms`|`[]`|Array containing all the synonyms|synonym|
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| `language` | `{LANGUAGE-CODE}` | A string specifying the language code for the utterances, synonyms, and regular expressions used in your project. If your project is a multilingual project, choose the [language code](../language-support.md) of the majority of the utterances. |`en-us`|
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| `intents` | `[]` | Array containing all the intents you have in the project. These are the intents that will be classified from your utterances.| `[]` |
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| `entities` | `[]` | Array containing all the entities in your project. These are the entities that will be extracted from your utterances. Every entity can have additional oiptional components defined with them: list, prebuilts, or regex. | `[]` |
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| `entities` | `[]` | Array containing all the entities in your project. These are the entities that will be extracted from your utterances. Every entity can have additional optional components defined with them: list, prebuilt, or regex. | `[]` |
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| `dataset` | `{DATASET}` | The test set to which this utterance will go to when split before training. Learn more about data splitting [here](../how-to/train-model.md#data-splitting) . Possible values for this field are `Train` and `Test`. |`Train`|
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| `category` | ` ` | The type of entity associated with the span of text specified. | `Entity1`|
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| `offset` | ` ` | The inclusive character position of the start of the entity. |`5`|
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| `length` | ` ` | The character length of the entity. |`5`|
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| `listKey`| ` ` | A normalized value for the list of synonyms to map back to in prediction. | `Microsoft` |
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| `values`| `{VALUES-FOR-LIST}` | A list of comma separated strings that will be exact matched for extraction and map to the list key. | `"msft", "microsoft", "MS"` |
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| `values`| `{VALUES-FOR-LIST}` | A list of comma separated strings that will be matched exactly for extraction and map to the list key. | `"msft", "microsoft", "MS"` |
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| `regexKey`| `{REGEX-PATTERN}` | A regular expression. | `ProductPattern1` |
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| `regexPattern`| `{REGEX-PATTERN}` | A regular expression. | `^pre` |
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| `prebuilts`| `{PREBUILT-COMPONENTS}` | The prebuilt components that can extract common types. You can find the list of prebuilts you can add [here](../prebuilt-component-reference.md). | `Quantity.Number` |

articles/cognitive-services/language-service/whats-new.md

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* [Regular expressions](./conversational-language-understanding/concepts/entity-components.md#regex-component) in conversational language understanding and [required components](./conversational-language-understanding/concepts/entity-components.md#required-components), offering an additional ability to influence entity predictions.
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* [Entity resolution](./named-entity-recognition/concepts/entity-resolutions.md) in named entity recognition
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* New region support for:
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* [Conversational language understanding](./conversational-language-understanding/service-limits.md#regional-availability.md)
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* [Orchestration workflow](./orchestration-workflow/service-limits.md#regional-availability.md)
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* [Custom text classification](./custom-text-classification/service-limits.md#regional-availability.md)
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* [Custom named entity recognition](./custom-named-entity-recognition/service-limits.md#regional-availability.md)
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* [Conversational language understanding](./conversational-language-understanding/service-limits.md#regional-availability)
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* [Orchestration workflow](./orchestration-workflow/service-limits.md#regional-availability)
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* [Custom text classification](./custom-text-classification/service-limits.md#regional-availability)
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* [Custom named entity recognition](./custom-named-entity-recognition/service-limits.md#regional-availability)
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## September 2022
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