0.10.25

Enhancements

• Duplicate CLI param check Given that many of the options associated with the Click based cli ingest commands are added dynamically from a number of configs, a check was incorporated to make sure there were no duplicate entries to prevent new configs from overwriting already added options.

Features

• Table OCR refactor support Table OCR with pre-computed OCR data to ensure we only do one OCR for entrie document. User can specify ocr agent tesseract/paddle in environment variable OCR_AGENT for OCRing the entire document.
• Adds accuracy function The accuracy scoring was originally an option under calculate_edit_distance. For easy function call, it is now a wrapper around the original function that calls edit_distance and return as "score".
• Adds HuggingFaceEmbeddingEncoder The HuggingFace Embedding Encoder uses a local embedding model as opposed to using an API.
• Add AWS bedrock embedding connector unstructured.embed.bedrock now provides a connector to use AWS bedrock's titan-embed-text model to generate embeddings for elements. This features requires valid AWS bedrock setup and an internet connectionto run.

Fixes

• Import PDFResourceManager more directly We were importing PDFResourceManager from pdfminer.converter which was causing an error for some users. We changed to import from the actual location of PDFResourceManager, which is pdfminer.pdfinterp.
• Fix language detection of elements with empty strings This resolves a warning message that was raised by langdetect if the language was attempted to be detected on an empty string. Language detection is now skipped for empty strings.
• Fix chunks breaking on regex-metadata matches. Fixes "over-chunking" when regex_metadata was used, where every element that contained a regex-match would start a new chunk.
• Fix regex-metadata match offsets not adjusted within chunk. Fixes incorrect regex-metadata match start/stop offset in chunks where multiple elements are combined.
• Map source cli command configs when destination set Due to how the source connector is dynamically called when the destination connector is set via the CLI, the configs were being set incorrectoy, causing the source connector to break. The configs were fixed and updated to take into account Fsspec-specific connectors.
• Fix metrics folder not discoverable Fixes issue where unstructured/metrics folder is not discoverable on PyPI by adding an __init__.py file under the folder.
• Fix a bug when partition_pdf get model_name=None In API usage the model_name value is None and the cast function in partition_pdf would return None and lead to attribution error. Now we use str function to explicit convert the content to string so it is guaranteed to have starts_with and other string functions as attributes
• Fix html partition fail on tables without tbody tag HTML tables may sometimes just contain headers without body (tbody tag)
• Fix out-of-order sequencing of split chunks. Fixes behavior where "split" chunks were inserted at the beginning of the chunk sequence. This would produce a chunk sequence like [5a, 5b, 3a, 3b, 1, 2, 4] when sections 3 and 5 exceeded max_characters.

0.10.24

Enhancements

• Improve natural reading order Some OCR elements with only spaces in the text have full-page width in the bounding box, which causes the xycut sorting to not work as expected. Now the logic to parse OCR results removes any elements with only spaces (more than one space).
• Ingest compression utilities and fsspec connector support Generic utility code added to handle files that get pulled from a source connector that are either tar or zip compressed and uncompress them locally. This is then processed using a local source connector. Currently this functionality has been incorporated into the fsspec connector and all those inheriting from it (currently: Azure Blob Storage, Google Cloud Storage, S3, Box, and Dropbox).
• Ingest destination connectors support for writing raw list of elements Along with the default write method used in the ingest pipeline to write the json content associated with the ingest docs, each destination connector can now also write a raw list of elements to the desired downstream location without having an ingest doc associated with it.

Features

• Adds element type percent match function In order to evaluate the element type extracted, we add a function that calculates the matched percentage between two frequency dictionary.

Fixes

• Fix paddle model file not discoverable Fixes issue where ocr_models/paddle_ocr.py file is not discoverable on PyPI by adding
  an __init__.py file under the folder.
• Chipper v2 Fixes Includes fix for a memory leak and rare last-element bbox fix. (unstructured-inference==0.7.7)
• Fix image resizing issue Includes fix related to resizing images in the tables pipeline. (unstructured-inference==0.7.6)

0.10.23

0.10.23

Enhancements

• Add functionality to limit precision when serializing to json Precision for points is limited to 1 decimal point if coordinates["system"] == "PixelSpace" (otherwise 2 decimal points?). Precision for detection_class_prob is limited to 5 decimal points.
• Fix csv file detection logic when mime-type is text/plain Previously the logic to detect csv file type was considering only first row's comma count comparing with the header_row comma count and both the rows being same line the result was always true, Now the logic is changed to consider the comma's count for all the lines except first line and compare with header_row comma count.
• Improved inference speed for Chipper V2 API requests with 'hi_res_model_name=chipper' now have ~2-3x faster responses.

Features

Fixes

• Cleans up temporary files after conversion Previously a file conversion utility was leaving temporary files behind on the filesystem without removing them when no longer needed. This fix helps prevent an accumulation of temporary files taking up excessive disk space.
• Fixes under_non_alpha_ratio dividing by zero Although this function guarded against a specific cause of division by zero, there were edge cases slipping through like strings with only whitespace. This update more generally prevents the function from performing a division by zero.
• Fix languages default Previously the default language was being set to English when elements didn't have text or if langdetect could not detect the language. It now defaults to None so there is not misleading information about the language detected.
• Fixes recursion limit error that was being raised when partitioning Excel documents of a certain size Previously we used a recursive method to find subtables within an excel sheet. However this would run afoul of Python's recursion depth limit when there was a contiguous block of more than 1000 cells within a sheet. This function has been updated to use the NetworkX library which avoids Python recursion issues.

0.10.22

Enhancements

• bump unstructured-inference to 0.7.3 The updated version of unstructured-inference supports a new version of the Chipper model, as well as a cleaner schema for its output classes. Support is included for new inference features such as hierarchy and ordering.
• Expose skip_infer_table_types in ingest CLI. For each connector a new --skip-infer-table-types parameter was added to map to the skip_infer_table_types partition argument. This gives more granular control to unstructured-ingest users, allowing them to specify the file types for which we should attempt table extraction.
• Add flag to ingest CLI to raise error if any single doc fails in pipeline Currently if a single doc fails in the pipeline, the whole thing halts due to the error. This flag defaults to log an error but continue with the docs it can.
• Emit hyperlink metadata for DOCX file-type. DOCX partitioner now adds metadata.links, metadata.link_texts and metadata.link_urls for elements that contain a hyperlink that points to an external resource. So-called "jump" links pointing to document internal locations (such as those found in a table-of-contents "jumping" to a chapter or section) are excluded.

Features

• Add elements_to_text as a staging helper function In order to get a single clean text output from unstructured for metric calculations, automate the process of extracting text from elements using this function.

• Adds permissions(RBAC) data ingestion functionality for the Sharepoint connector. Problem: Role based access control is an important component in many data storage systems. Users may need to pass permissions (RBAC) data to downstream systems when ingesting data. Feature: Added permissions data ingestion functionality to the Sharepoint connector.

Fixes

• Fixes PDF list parsing creating duplicate list items Previously a bug in PDF list item parsing caused removal of other elements and duplication of the list item
• Fixes duplicated elements Fixes issue where elements are duplicated when embeddings are generated. This will allow users to generate embeddings for their list of Elements without duplicating/breaking the orginal content.
• Fixes failure when flagging for embeddings through unstructured-ingest Currently adding the embedding parameter to any connector results in a failure on the copy stage. This is resolves the issue by adding the IngestDoc to the context map in the embedding node's run method. This allows users to specify that connectors fetch embeddings without failure.
• Fix ingest pipeline reformat nodes not discoverable Fixes issue where reformat nodes raise ModuleNotFoundError on import. This was due to the directory was missing __init__.py in order to make it discoverable.
• Fix default language in ingest CLI Previously the default was being set to english which injected potentially incorrect information to downstream language detection libraries. By setting the default to None allows those libraries to better detect what language the text is in the doc being processed.

0.10.21

0.10.21

• Adds Scarf analytics.

0.10.20

0.10.20

Enhancements

• Add document level language detection functionality. Adds the "auto" default for the languages param to all partitioners. The primary language present in the document is detected using the langdetect package. Additional param detect_language_per_element is also added for partitioners that return multiple elements. Defaults to False.
• Refactor OCR code The OCR code for entire page is moved from unstructured-inference to unstructured. On top of continuing support for OCR language parameter, we also support two OCR processing modes, "entire_page" or "individual_blocks".
• Align to top left when shrinking bounding boxes for xy-cut sorting: Update shrink_bbox() to keep top left rather than center.
• Add visualization script to annotate elements This script is often used to analyze/visualize elements with coordinates (e.g. partition_pdf()).
• Adds data source properties to the Jira, Github and Gitlab connectors These properties (date_created, date_modified, version, source_url, record_locator) are written to element metadata during ingest, mapping elements to information about the document source from which they derive. This functionality enables downstream applications to reveal source document applications, e.g. a link to a GDrive doc, Salesforce record, etc.
• Improve title detection in pptx documents The default title textboxes on a pptx slide are now categorized as titles.
• Improve hierarchy detection in pptx documents List items, and other slide text are properly nested under the slide title. This will enable better chunking of pptx documents.
• Refactor of the ingest cli workflow The refactored approach uses a dynamically set pipeline with a snapshot along each step to save progress and accommodate continuation from a snapshot if an error occurs. This also allows the pipeline to dynamically assign any number of steps to modify the partitioned content before it gets written to a destination.
• Applies max_characters=<n> argument to all element types in add_chunking_strategy decorator Previously this argument was only utilized in chunking Table elements and now applies to all partitioned elements if add_chunking_strategy decorator is utilized, further preparing the elements for downstream processing.
• Add common retry strategy utilities for unstructured-ingest Dynamic retry strategy with exponential backoff added to Notion source connector.

Features

• Adds bag_of_words and percent_missing_text functions In order to count the word frequencies in two input texts and calculate the percentage of text missing relative to the source document.
• Adds edit_distance calculation metrics In order to benchmark the cleaned, extracted text with unstructured, edit_distance (Levenshtein distance) is included.
• Adds detection_origin field to metadata Problem: Currently isn't an easy way to find out how an element was created. With this change that information is added. Importance: With this information the developers and users are now able to know how an element was created to make decisions on how to use it. In order tu use this feature
  setting UNSTRUCTURED_INCLUDE_DEBUG_METADATA=true is needed.
• Adds a function that calculates frequency of the element type and its depth To capture the accuracy of element type extraction, this function counts the occurrences of each unique element type with its depth for use in element metrics.

Fixes

• Fix zero division error in annotation bbox size This fixes the bug where we find annotation bboxes realted to an element that need to divide the intersection size between annotation bbox and element bbox by the size of the annotation bbox
• Fix prevent metadata module from importing dependencies from unnecessary modules Problem: The metadata module had several top level imports that were only used in and applicable to code related to specific document types, while there were many general-purpose functions. As a result, general-purpose functions couldn't be used without unnecessary dependencies being installed. Fix: moved 3rd party dependency top level imports to inside the functions in which they are used and applied a decorator to check that the dependency is installed and emit a helpful error message if not.
• Fixes category_depth None value for Title elements Problem: Title elements from chipper get category_depth= None even when Headline and/or Subheadline elements are present in the same page. Fix: all Title elements with category_depth = None should be set to have a depth of 0 instead iff there are Headline and/or Subheadline element-types present. Importance: Title elements should be equivalent html H1 when nested headings are present; otherwise, category_depth metadata can result ambiguous within elements in a page.
• Tweak xy-cut ordering output to be more column friendly This results in the order of elements more closely reflecting natural reading order which benefits downstream applications. While element ordering from xy-cut is usually mostly correct when ordering multi-column documents, sometimes elements from a RHS column will appear before elements in a LHS column. Fix: add swapped xy-cut ordering by sorting by X coordinate first and then Y coordinate.
• Fixes badly initialized Formula Problem: YoloX contain new types of elements, when loading a document that contain formulas a new element of that class
  should be generated, however the Formula class inherits from Element instead of Text. After this change the element is correctly created with the correct class
  allowing the document to be loaded. Fix: Change parent class for Formula to Text. Importance: Crucial to be able to load documents that contain formulas.
• Fixes pdf uri error An error was encountered when URI type of GoToR which refers to pdf resources outside of its own was detected since no condition catches such case. The code is fixing the issue by initialize URI before any condition check.

0.10.19

0.10.19

Enhancements

• Adds XLSX document level language detection Enhancing on top of language detection functionality in previous release, we now support language detection within .xlsx file type at Element level.
• bump unstructured-inference to 0.6.6 The updated version of unstructured-inference makes table extraction in hi_res mode configurable to fine tune table extraction performance; it also improves element detection by adding a deduplication post processing step in the hi_res partitioning of pdfs and images.
• Detect text in HTML Heading Tags as Titles This will increase the accuracy of hierarchies in HTML documents and provide more accurate element categorization. If text is in an HTML heading tag and is not a list item, address, or narrative text, categorize it as a title.
• Update python-based docs Refactor docs to use the actual unstructured code rather than using the subprocess library to run the cli command itself.
• Adds data source properties to SharePoint, Outlook, Onedrive, Reddit, and Slack connectors These properties (date_created, date_modified, version, source_url, record_locator) are written to element metadata during ingest, mapping elements to information about the document source from which they derive. This functionality enables downstream applications to reveal source document applications, e.g. a link to a GDrive doc, Salesforce record, etc.
• Adds Table support for the add_chunking_strategy decorator to partition functions. In addition to combining elements under Title elements, user's can now specify the max_characters=<n> argument to chunk Table elements into TableChunk elements with text and text_as_html of length characters. This means partitioned Table results are ready for use in downstream applications without any post processing.
• Expose endpoint url for s3 connectors By allowing for the endpoint url to be explicitly overwritten, this allows for any non-AWS data providers supporting the s3 protocol to be supported (i.e. minio).
• change default hi_res model for pdf/image partition to yolox Now partitioning pdf/image using hi_res strategy utilizes yolox_quantized model isntead of detectron2_onnx model. This new default model has better recall for tables and produces more detailed categories for elements.
• XLSX can now reads subtables within one sheet Problem: Many .xlsx files are not created to be read as one full table per sheet. There are subtables, text and header along with more informations to extract from each sheet. Feature: This partition_xlsx now can reads subtable(s) within one .xlsx sheet, along with extracting other title and narrative texts. Importance: This enhance the power of .xlsx reading to not only one table per sheet, allowing user to capture more data tables from the file, if exists.
• Update Documentation on Element Types and Metadata: We have updated the documentation according to the latest element types and metadata. It includes the common and additional metadata provided by the Partitions and Connectors.

Fixes

• Fixes partition_pdf is_alnum reference bug Problem: The partition_pdf when attempt to get bounding box from element experienced a reference before assignment error when the first object is not text extractable. Fix: Switched to a flag when the condition is met. Importance: Crucial to be able to partition with pdf.
• Fix various cases of HTML text missing after partition
  Problem: Under certain circumstances, text immediately after some HTML tags will be misssing from partition result.
  Fix: Updated code to deal with these cases.
  Importance: This will ensure the correctness when partitioning HTML and Markdown documents.
• Fixes chunking when detection_class_prob appears in Element metadata Problem: when detection_class_prob appears in Element metadata, Elements will only be combined by chunk_by_title if they have the same detection_class_prob value (which is rare). This is unlikely a case we ever need to support and most often results in no chunking. Fix: detection_class_prob is included in the chunking list of metadata keys excluded for similarity comparison. Importance: This change allows chunk_by_title to operate as intended for documents which include detection_class_prob metadata in their Elements.

0.10.18

0.10.18

Enhancements

• Better detection of natural reading order in images and PDF's The elements returned by partition better reflect natural reading order in some cases, particularly in complicated multi-column layouts, leading to better chunking and retrieval for downstream applications. Achieved by improving the xy-cut sorting to preprocess bboxes, shrinking all bounding boxes by 90% along x and y axes (still centered around the same center point), which allows projection lines to be drawn where not possible before if layout bboxes overlapped.
• Improves partition_xml to be faster and more memory efficient when partitioning large XML files The new behavior is to partition iteratively to prevent loading the entire XML tree into memory at once in most use cases.
• Adds data source properties to SharePoint, Outlook, Onedrive, Reddit, Slack, and DeltaTable connectors These properties (date_created, date_modified, version, source_url, record_locator) are written to element metadata during ingest, mapping elements to information about the document source from which they derive. This functionality enables downstream applications to reveal source document applications, e.g. a link to a GDrive doc, Salesforce record, etc.
• Add functionality to save embedded images in PDF's separately as images This allows users to save embedded images in PDF's separately as images, given some directory path. The saved image path is written to the metadata for the Image element. Downstream applications may benefit by providing users with image links from relevant "hits."
• Azure Cognitive Search destination connector New Azure Cognitive Search destination connector added to ingest CLI. Users may now use unstructured-ingest to write partitioned data from over 20 data sources (so far) to an Azure Cognitive Search index.
• Improves salesforce partitioning Partitions Salesforce data as xlm instead of text for improved detail and flexibility. Partitions htmlbody instead of textbody for Salesforce emails. Importance: Allows all Salesforce fields to be ingested and gives Salesforce emails more detailed partitioning.
• Add document level language detection functionality. Introduces the "auto" default for the languages param, which then detects the languages present in the document using the langdetect package. Adds the document languages as ISO 639-3 codes to the element metadata. Implemented only for the partition_text function to start.
• PPTX partitioner refactored in preparation for enhancement. Behavior should be unchanged except that shapes enclosed in a group-shape are now included, as many levels deep as required (a group-shape can itself contain a group-shape).
• Embeddings support for the SharePoint SourceConnector via unstructured-ingest CLI The SharePoint connector can now optionally create embeddings from the elements it pulls out during partition and upload those embeddings to Azure Cognitive Search index.
• Improves hierarchy from docx files by leveraging natural hierarchies built into docx documents Hierarchy can now be detected from an indentation level for list bullets/numbers and by style name (e.g. Heading 1, List Bullet 2, List Number).
• Chunking support for the SharePoint SourceConnector via unstructured-ingest CLI The SharePoint connector can now optionally chunk the elements pulled out during partition via the chunking unstructured brick. This can be used as a stage before creating embeddings.

Features

• Adds links metadata in partition_pdf for fast strategy. Problem: PDF files contain rich information and hyperlink that Unstructured did not captured earlier. Feature: partition_pdf now can capture embedded links within the file along with its associated text and page number. Importance: Providing depth in extracted elements give user a better understanding and richer context of documents. This also enables user to map to other elements within the document if the hyperlink is refered internally.
• Adds the embedding module to be able to embed Elements Problem: Many NLP applications require the ability to represent parts of documents in a semantic way. Until now, Unstructured did not have text embedding ability within the core library. Feature: This embedding module is able to track embeddings related data with a class, embed a list of elements, and return an updated list of Elements with the embeddings property. The module is also able to embed query strings. Importance: Ability to embed documents or parts of documents will enable users to make use of these semantic representations in different NLP applications, such as search, retrieval, and retrieval augmented generation.

Fixes

• Fixes a metadata source serialization bug Problem: In unstructured elements, when loading an elements json file from the disk, the data_source attribute is assumed to be an instance of DataSourceMetadata and the code acts based on that. However the loader did not satisfy the assumption, and loaded it as a dict instead, causing an error. Fix: Added necessary code block to initialize a DataSourceMetadata object, also refactored DataSourceMetadata.from_dict() method to remove redundant code. Importance: Crucial to be able to load elements (which have data_source fields) from json files.
• Fixes issue where unstructured-inference was not getting updated Problem: unstructured-inference was not getting upgraded to the version to match unstructured release when doing a pip install. Solution: using pip install unstructured[all-docs] it will now upgrade both unstructured and unstructured-inference. Importance: This will ensure that the inference library is always in sync with the unstructured library, otherwise users will be using outdated libraries which will likely lead to unintended behavior.
• Fixes SharePoint connector failures if any document has an unsupported filetype Problem: Currently the entire connector ingest run fails if a single IngestDoc has an unsupported filetype. This is because a ValueError is raised in the IngestDoc's __post_init__. Fix: Adds a try/catch when the IngestConnector runs get_ingest_docs such that the error is logged but all processable documents->IngestDocs are still instantiated and returned. Importance: Allows users to ingest SharePoint content even when some files with unsupported filetypes exist there.
• Fixes Sharepoint connector server_path issue Problem: Server path for the Sharepoint Ingest Doc was incorrectly formatted, causing issues while fetching pages from the remote source. Fix: changes formatting of remote file path before instantiating SharepointIngestDocs and appends a '/' while fetching pages from the remote source. Importance: Allows users to fetch pages from Sharepoint Sites.
• Fixes badly initialized Formula Problem: YoloX contain new types of elements, when loading a document that contain formulas a new element of that class
  should be generated, however the Formula class inherits from Element instead of Text. After this change the element is correctly created with the correct class
  allowing the document to be loaded. Fix: Change parent class for Formula to Text. Importance: Crucial to be able to load documents that contain formulas.
• Fixes Sphinx errors. Fixes errors when running Sphinx make html and installs library to suppress warnings.
• Fixes a metadata backwards compatibility error Problem: When calling partition_via_api, the hosted api may return an element schema that's newer than the current unstructured. In this case, metadata fields were added which did not exist in the local ElementMetadata dataclass, and __init__() threw an error. Fix: remove nonexistent fields before instantiating in ElementMetadata.from_json(). Importance: Crucial to avoid breaking changes when adding fields.
• Fixes issue with Discord connector when a channel returns None Problem: Getting the jump_url from a nonexistent Discord channel fails. Fix: property jump_url is now retrieved within the same context as the messages from the channel. Importance: Avoids cascading issues when the connector fails to fetch information about a Discord channel.
• Fixes occasionally SIGABTR when writing table with deltalake on Linux Problem: occasionally on Linux ingest can throw a SIGABTR when writing deltalake table even though the table was written correctly. Fix: put the writing function into a Process to ensure its execution to the fullest extent before returning to the main process. Importance: Improves stability of connectors using deltalake

0.10.16

0.10.16

Enhancements

• Adds data source properties to Airtable, Confluence, Discord, Elasticsearch, Google Drive, and Wikipedia connectors These properties (date_created, date_modified, version, source_url, record_locator) are written to element metadata during ingest, mapping elements to information about the document source from which they derive. This functionality enables downstream applications to reveal source document applications, e.g. a link to a GDrive doc, Salesforce record, etc.
• DOCX partitioner refactored in preparation for enhancement. Behavior should be unchanged except in multi-section documents containing different headers/footers for different sections. These will now emit all distinct headers and footers encountered instead of just those for the last section.
• Add a function to map between Tesseract and standard language codes. This allows users to input language information to the languages param in any Tesseract-supported langcode or any ISO 639 standard language code.

Features

Fixes

• *Fixes an issue that caused a partition error for some PDF's. Fixes GH Issue 1460 by bypassing a coordinate check if an element has invalid coordinates.

0.10.15

• Support for better element categories from the next-generation image-to-text model ("chipper"). Previously, not all of the classifications from Chipper were being mapped to proper unstructured element categories so the consumer of the library would see many UncategorizedText elements. This fixes the issue, improving the granularity of the element categories outputs for better downstream processing and chunking. The mapping update is:
  • "Threading": NarrativeText
  • "Form": NarrativeText
  • "Field-Name": Title
  • "Value": NarrativeText
  • "Link": NarrativeText
  • "Headline": Title (with category_depth=1)
  • "Subheadline": Title (with category_depth=2)
  • "Abstract": NarrativeText
• Better ListItem grouping for PDF's (fast strategy). The partition_pdf with fast strategy previously broke down some numbered list item lines as separate elements. This enhancement leverages the x,y coordinates and bbox sizes to help decide whether the following chunk of text is a continuation of the immediate previous detected ListItem element or not, and not detect it as its own non-ListItem element.
• Fall back to text-based classification for uncategorized Layout elements for Images and PDF's. Improves element classification by running existing text-based rules on previously UncategorizedText elements.
• Adds table partitioning for Partitioning for many doc types including: .html, .epub., .md, .rst, .odt, and .msg. At the core of this change is the .html partition functionality, which is leveraged by the other effected doc types. This impacts many scenarios where Table Elements are now propery extracted.
• Create and add add_chunking_strategy decorator to partition functions. Previously, users were responsible for their own chunking after partitioning elements, often required for downstream applications. Now, individual elements may be combined into right-sized chunks where min and max character size may be specified if chunking_strategy=by_title. Relevant elements are grouped together for better downstream results. This enables users immediately use partitioned results effectively in downstream applications (e.g. RAG architecture apps) without any additional post-processing.
• Adds languages as an input parameter and marks ocr_languages kwarg for deprecation in pdf, image, and auto partitioning functions. Previously, language information was only being used for Tesseract OCR for image-based documents and was in a Tesseract specific string format, but by refactoring into a list of standard language codes independent of Tesseract, the unstructured library will better support languages for other non-image pipelines and/or support for other OCR engines.
• Removes UNSTRUCTURED_LANGUAGE env var usage and replaces language with languages as an input parameter to unstructured-partition-text_type functions. The previous parameter/input setup was not user-friendly or scalable to the variety of elements being processed. By refactoring the inputted language information into a list of standard language codes, we can support future applications of the element language such as detection, metadata, and multi-language elements. Now, to skip English specific checks, set the languages parameter to any non-English language(s).
• Adds xlsx and xls filetype extensions to the skip_infer_table_types default list in partition. By adding these file types to the input parameter these files should not go through table extraction. Users can still specify if they would like to extract tables from these filetypes, but will have to set the skip_infer_table_types to exclude the desired filetype extension. This avoids mis-representing complex spreadsheets where there may be multiple sub-tables and other content.
• Better debug output related to sentence counting internals. Clarify message when sentence is not counted toward sentence count because there aren't enough words, relevant for developers focused on unstructureds NLP internals.
• Faster ocr_only speed for partitioning PDF and images. Use unstructured_pytesseract.run_and_get_multiple_output function to reduce the number of calls to tesseract by half when partitioning pdf or image with tesseract
• Adds data source properties to fsspec connectors These properties (date_created, date_modified, version, source_url, record_locator) are written to element metadata during ingest, mapping elements to information about the document source from which they derive. This functionality enables downstream applications to reveal source document applications, e.g. a link to a GDrive doc, Salesforce record, etc.
• Add delta table destination connector New delta table destination connector added to ingest CLI. Users may now use unstructured-ingest to write partitioned data from over 20 data sources (so far) to a Delta Table.
• Rename to Source and Destination Connectors in the Documentation. Maintain naming consistency between Connectors codebase and documentation with the first addition to a destination connector.
• Non-HTML text files now return unstructured-elements as opposed to HTML-elements. Previously the text based files that went through partition_html would return HTML-elements but now we preserve the format from the input using source_format argument in the partition call.
• Adds PaddleOCR as an optional alternative to Tesseract for OCR in processing of PDF or Image files, it is installable via the makefile command install-paddleocr. For experimental purposes only.
• Bump unstructured-inference to 0.5.28. This version bump markedly improves the output of table data, rendered as metadata.text_as_html in an element. These changes include:
  • add env variable ENTIRE_PAGE_OCR to specify using paddle or tesseract on entire page OCR
  • table structure detection now pads the input image by 25 pixels in all 4 directions to improve its recall (0.5.27)
  • support paddle with both cpu and gpu and assume it is pre-installed (0.5.26)
  • fix a bug where cells_to_html doesn't handle cells spanning multiple rows properly (0.5.25)
  • remove cv2 preprocessing step before OCR step in table transformer (0.5.24)

Features

• Adds element metadata via category_depth with default value None.
  • This additional metadata is useful for vectordb/LLM, chunking strategies, and retrieval applications.
• Adds a naive hierarchy for elements via a parent_id on the element's metadata
  • Users will now have more metadata for implementing vectordb/LLM chunking strategies. For example, text elements could be queried by their preceding title element.
  • Title elements created from HTML headings will properly nest

Fixes

• add_pytesseract_bboxes_to_elements no longer returns nan values. The function logic is now broken into new methods
  _get_element_box and convert_multiple_coordinates_to_new_system
• Selecting a different model wasn't being respected when calling partition_image. Problem: partition_pdf allows for passing a model_name parameter. Given the similarity between the image and PDF pipelines, the expected behavior is that partition_image should support the same parameter, but partition_image was unintentionally not passing along its kwargs. This was corrected by adding the kwargs to the downstream call.
• Fixes a chunking issue via dropping the field "coordinates". Problem: chunk_by_title function was chunking each element to its own individual chunk while it needed to group elements into a fewer number of chunks. We've discovered that this happens due to a metadata matching logic in chunk_by_title function, and discovered that elements with different metadata can't be put into the same chunk. At the same time, any element with "coordinates" essentially had different metadata than other elements, due each element locating in different places and having different coordinates. Fix: That is why we have included the key "coordinates" inside a list of excluded metadata keys, while doing this "metadata_matches" comparision. Importance: This change is crucial to be able to chunk by title for documents which include "coordinates" metadata in their elements.