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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type struct<html_seq: string, otsl_seq: string> to null
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1625, in _prepare_split_single
writer.write(example, key)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 537, in write
self.write_examples_on_file()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 495, in write_examples_on_file
self.write_batch(batch_examples=batch_examples)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 605, in write_batch
arrays.append(pa.array(typed_sequence))
File "pyarrow/array.pxi", line 247, in pyarrow.lib.array
File "pyarrow/array.pxi", line 112, in pyarrow.lib._handle_arrow_array_protocol
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 243, in __arrow_array__
out = cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2013, in cast_array_to_feature
casted_array_values = _c(array.values, feature[0])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2005, in cast_array_to_feature
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2006, in <listcomp>
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1950, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type struct<html_seq: string, otsl_seq: string> to null
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1634, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 636, in finalize
self.write_examples_on_file()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 495, in write_examples_on_file
self.write_batch(batch_examples=batch_examples)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 605, in write_batch
arrays.append(pa.array(typed_sequence))
File "pyarrow/array.pxi", line 247, in pyarrow.lib.array
File "pyarrow/array.pxi", line 112, in pyarrow.lib._handle_arrow_array_protocol
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 243, in __arrow_array__
out = cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2013, in cast_array_to_feature
casted_array_values = _c(array.values, feature[0])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2005, in cast_array_to_feature
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2006, in <listcomp>
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2065, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1950, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type struct<html_seq: string, otsl_seq: string> to null
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1412, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1486, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1643, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
__key__
string | __url__
string | png
image | txt
string | cells.json
list | segments.json
list | metadata.json
dict |
|---|---|---|---|---|---|---|
000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae-0 | hf://datasets/artefactory/Argimi-Ardian-Finance-10k-text-image@fb3734d7069a3f175c11c47ffcd63b20bede81b0/00/document-000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae.tar.gz | [] | [
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000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae-1 | hf://datasets/artefactory/Argimi-Ardian-Finance-10k-text-image@fb3734d7069a3f175c11c47ffcd63b20bede81b0/00/document-000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae.tar.gz | 64175 Synchroy . indd 3 3/13/20 4:25 PM CHANGING WHAT'S POSSIBLE It's been five fast-paced, growthfilled years since our IPO. Today, we are delivering on our shortterm priorities while investing for long-term success-driven by our strategy: - 1. Expand our existing partnerships while adding new programs. - 2. Diversify by accelerating growth in our Payment Solutions and CareCredit platforms. - 3. Deliver best-in-class customer experiences through technology and data analytics. - 4. Operate with a strong balance sheet and financial profile. In 2019, all four were in play. The results are inside. | [
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000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae-2 | hf://datasets/artefactory/Argimi-Ardian-Finance-10k-text-image@fb3734d7069a3f175c11c47ffcd63b20bede81b0/00/document-000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae.tar.gz | STRATEGIC PRIORITIES FOCUS ON LONG-TERM VALUE CREATION WHILE DIVERSIFYING FOR THE FUTURE: Grow core partnerships and continue to add new programs at attractive returns. - · Drive growth for our partners and continue to strengthen our relationships by delivering new products and capabilities. - · Launch new programs with a focus on fast-growing partners where we can leverage our advanced technology. Diversify the business through targeted strategies in Payment Solutions, CareCredit and Synchrony-branded products. - ?jgo HYqe]fl Kgdmlagfk l'jgm_' hgafl%g^%kYd] [YhYZadala]kYf\ affgnYlan] hjg\m[l g÷]jaf_k& - · Grow CareCredit through broader acceptance and further expansion of the network (e.g., health systems). - · Invest in Synchrony-branded products-Auto and Home Networks, Synchrony Mastercard and additional banking products. - D]n]jY_] Y[imakalagfk lg \]n]dgh Yf\ _jgo f]o j]n]fm] kgmj[]k ]&_&$ ]%_aøaf_$ h]lk!& Deliver best-in-class customer experience through technology and data analytics. - · Continue expansion of advanced analytics leveraging customer-level data and insights. - · Further develop capabilities to deliver a frictionless customer experience. - · Leverage alternative data and machine learning to further drive innovation (e.g., underwriting and authentication). Gh]jYl] oal' Y kljgf_ ZYdYf[] k']]l Yf\ ÕfYf[aYd hjgÕd]& - · Disciplined capital allocation approach to drive growth, launch new programs and invest in new products and capabilities and continue to return capital to shareholders. 1 FINANCIALS AT A GLANCE NET EARNINGS $3.7 BILLION NET INTEREST INCOME $16.8 BILLION 1 Subject to board and regulatory approvals. Use For Revised Pages from 3-19-20 . indd 4 3/20/20 8:37 AM AVERAGE LOAN RECEIVABLES (INCLUDING HELD FOR SALE) $89 BILLION PURCHASE VOLUME $149 BILLION $4.2 BILLION | [
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"text": "$16.8 BILLION",
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"text": "1 Subject to board and regulatory approvals.",
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000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae-4 | hf://datasets/artefactory/Argimi-Ardian-Finance-10k-text-image@fb3734d7069a3f175c11c47ffcd63b20bede81b0/00/document-000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae.tar.gz | Synchrony partners with businesses of all sizes- from small shops on Main Street, to digitally driven companies and major franchises-to enhance the customer experience and drive sales through every touchpoint-online, mobile and in-store. Synchrony partners with businesses of all sizes- from small shops on Main Street, to digitally driven companies and major franchises-to enhance the customer experience and drive sales through every touchpoint-online, mobile and in-store. During this milestone year, we also launched our new rallying cry-Changing What's Possible. It underscores our 2019 accomplishments, and signals where we are going as a business. It defines what we do and how we do it. The "what" is helping people and businesses reach their ambitions. The "how" is providing our business partners with the right payment tools and technology 2 3/13/20 4:25 PM 2 64175 Synchroy . indd to give customers the buying power they need. With our substantial investment in new products, mobile technology, digital innovation, data analytics and our people, we are Changing What's Possible-for our customers, our partners, our employees, and you, our shareholders. BUILDING ON EXPERIENCE- EXPANDING OUR PARTNERSHIPS Our capabilities and track record are rooted in more than 85 years of industry knowledge, experience and leadership. Today, we combine that heritage with digital technologies and innovative new approaches to deliver results to our partners and satisfaction to our customers. Our vast experience in consumer credit and ability to forge strong, trusted partnerships have driven organic growth in our existing programs and have made us a winning choice for fast-growing companies in new markets. We are increasingly becoming a partner of choice for digitally driven companies who take a tech-forward approach to consumer experience. In 2019, we completed the conversion of the $7.6 billion PayPal portfolio, lengthened our agreement with them and Z][Ye] l'] ]p[dmkan] akkm]j g^ N]fegÌk ^ajkl consumer credit card. In addition, Verizon chose us to launch their first consumer credit card. Partnerships with these digitally driven companies, combined with our existing relationships, are key to our strategy of driving diversification and future growth for Synchrony. The investments we will make in 2020 to develop new digital innovations and technologies for these programs can be utilized by our partners across all of Kqf['jgfqÌk hdYl^gjek$ [j]Ylaf_ Y\\alagfYd nYdm] ^gj Kqf['jgfqÌk hYjlf]jk Yf\ gmj shareholders for years to come. | [
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000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae-8 | hf://datasets/artefactory/Argimi-Ardian-Finance-10k-text-image@fb3734d7069a3f175c11c47ffcd63b20bede81b0/00/document-000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae.tar.gz | CHANGING WHAT'S POSSIBLE OUR VISION: To build a future where every ambition is within reach. OUR MISSION: We create financial and technology solutions to move our customers and partners forward. OUR VALUES: Honest. Passionate. Caring. Responsible. Bold. Driven. 6 64175 Synchroy . indd 6 3/13/20 4:25 PM LIVING OUR VALUES Honest. Passionate. Caring. Responsible. Bold. Driven. We have worked hard to build a successful company-and a caring one too. We have achieved both, thanks in large e]Ykmj] lg gmj [gehYfqÌk nYdm]k Yf\ l'] kljgf_ [mdlmj] they underpin. It is this strength that powers our leadership in diversity and inclusion, our focus on innovation and our intense spirit of volunteerism and community engagement. In 2019, Synchrony again put caring into action-extending a helping hand to the communities in which we live and work. In total, more than 6,500 Synchrony volunteers donated nearly 50,000 hours of their time to give back to our communities. Our strong culture is the force behind our global diversity networks. More than 10,000 employees now participate in these eight groups. They play a vital role in promoting diversity, inclusion and belonging throughout the company. In addition, Synchrony continues to create an environment where employees can be l']ek]dn]k$ 'Yn] l']aj nga[]k ']Yj\ Yf\ l'jan]& AÌe hjgm\ lg kYq in 2019, Synchrony was once again named one of the Fortune 100 Best Companies to Work For® and was certified as a Great Place to Work.® In 2019, we continued to concentrate on employee development and enrichment. We invested in training and development to ensure our people have the skills that matter in the digital economy. We also implemented new work methods across the company that foster speed and collaboration. To support continuing education, we expanded our tuition reimbursement programs to cover degrees in education and healthcare, responding to increasing demand for these skills in the communities in which we operate. Since 2015, we have paid out more than $12 million in tuition reimbursement to employees. We have also increased starting salaries for our hourly workers in the U.S. to at least $15 an hour and made our employees owners of the company with a special stock award as part of our five-year IPO anniversary celebration. L']k] Yf\ gl']j ]ehdgq]] hjg_jYek j]^d][l Kqf['jgfqÌk [gflafm]\ commitment to create an inclusive, fair and caring workplace and a workforce dedicated to the success of our partners, customers and our company. You can read about our diversity and inclusion programs, and how Synchrony and our employees are giving back in our 2019 Corporate Social Responsibility Report available at synchronyannualreport.com. CONTINUOUS PROGRESS During the five years since our IPO, Synchrony has made substantial investments in technology, data analytics, marketing, credit decisioning and talent development. In the year ahead, we will continue investing in the technology and systems that enable mk lg Zmad\ af\mkljq%d]Y\af_ hYjlf]j hjg_jYek& Lg \]dan]j$ o]Ìn] | [
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"text": "^Ykl%ljY[c]\\ 'go o] ogjc& O]Ìn] ]phYf\\]\\ gmj cross-functional, team-based Agile approach Z]qgf\\ gmj kgøoYj] \\]n]dghe]fl l]Yek& Using these methods, we are driving new levels of speed-adopting a continuous, iterative approach to our work across Synchrony.",
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"text": "We continue to deliver on our strategy to drive Kqf['jgfqÌk _jgol' Yf\\ \\an]jka^a[Ylagf& O] oadd continue to expand our current partnerships and add new ones; continue to extend Payment Solutions and CareCredit into new markets; continue to enhance the customer experiences o] g÷]j3 Yf\\ [gflafm] lg c]]h gmj ZYdYf[] sheet strong.",
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000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae-11 | hf://datasets/artefactory/Argimi-Ardian-Finance-10k-text-image@fb3734d7069a3f175c11c47ffcd63b20bede81b0/00/document-000a677a773e03a2cfa615d6a9678de6f59595f384a89a9190fdf3a38b334cae.tar.gz | A MESSAGE FROM THE BOARD OF DIRECTORS Dear Stakeholders, As Synchrony's board of directors, we are committed to overseeing the creation of longterm value for our stakeholders. We believe that our stockholders are best served when Synchrony achieves results responsibly, based on a culture of doing what's right, and in a manner that delivers value to all stakeholders-including our cardholders, partners, employees, regulators, suppliers and communitities. We value this opportunity to share an overview of the board's actions to further our commitment to stockholders and other stakeholders during the past year. STRATEGY We actively oversee Synchrony's strategic direction and review our strategic plan regularly. At our annual two-day strategy meeting, we worked with management to build a longterm strategic plan focusing on growing the core and diversifying the business. We are pleased to share Synchrony's progress executing this plan: - · Further diversifying Retail Card in e-commerce and mobile payments, extending our hYjlf]jk'ah oal' 9eYrgf Yf\ hYjlf]jaf_ oal' HYqHYd lg dYmf[' N]fegÌk Õjkl%]n]j [j]\al card, and expanding into new verticals such as telecommunications. - · Positioning Payment Solutions for continued success by driving organic growth and developing Synchrony-branded consumer products like the Synchrony Car Care and Synchrony HOME card networks. - · Expanding our CareCredit network by creating broader acceptance and utility for our [Yj\k Yf\ egnaf_ aflg f]o Y\bY[]f[a]k km[' Yk h]l afkmjYf[] Yf\hYla]fl ÕfYf[aYd care platforms. - =ngdnaf_ gmj g÷]jaf_k af l'] \aj][l%lg%[gfkme]j khY[]$ eYcaf_ ka_faÕ[Yfl hjg_j]kk building our consumer banking platform and launching Synchrony's general-purpose credit card. Looking ahead, Synchrony remains focused on improving all aspects of the customer experience, starting with a quick, seamless account opening process all the way through account self-servicing features. We will continue to invest heavily in digital innovations to develop new products and services that drive deeper customer relationships. BOARD EFFECTIVENESS We partner with management to build a culture founded on strong values and a shared vision and mission. That culture stands for our commitment to do the right thing for all of our stakeholders. Included in this commitment is the recognition of the critical role that diversity and inclusion play in long-term, sustainable growth. Kqf['jgfq 'Yk l'] egkl \an]jk] ZgYj\ g^ \aj][lgjk g^ Yfq ÕfYf[aYd k]jna[]k [gehYfq gj commercial bank in the Fortune 200.* * Our board includes four women directors and four minority directors, as well as cognitive diversity with expertise in consumer banking, credit cards, retail, technology, cybersecurityty, risk management, marketing, government Y÷Yajk Yf\ Y[[gmflaf_& Af *()1$ o] Y\\]\ log f]o \aj][lgjk lg l'] ZgYj\$ Zjaf_af_ expertise in healthcare and consumer sectors. Also, given the importance of technology and innovation to our future, we created a new board committee-the Technology Committee-to better leverage the board's technology expertise. This board diversity ]fYZd]k mk lg _ma\] Yf\ gn]jk]] eYfY_]e]fl egj] ]÷][lan]dq Zq Zjaf_af_ kljYl]_a[Yddq relevant, forward looking and inclusive perspectives to our boardroom. O] eYaflYaf kljgf_$ ]÷][lan] h]j^gjeYf[] Zq [gfka\]jaf_ ZgYj\ h]j^gjeYf[] Yl ]n]jq meeting and conducting a formal board evaluatition annually. Every third year, including in *()1$ o] ]f_Y_] Yf ]pl]jfYd [gfkmdlYfl lg ^Y[adalYl] l'] YffmYd]nYdmYlagf Yf\ Z]f['eYjc board performance. ":Yk]\gf*()1\ak[dgkmj]k& Use For Revised Pages from 3-19-20 . indd 14 3/20/20 9:13 AM | [
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"text": "As Synchrony's board of directors, we are committed to overseeing the creation of longterm value for our stakeholders. We believe that our stockholders are best served when Synchrony achieves results responsibly, based on a culture of doing what's right, and in a manner that delivers value to all stakeholders-including our cardholders, partners, employees, regulators, suppliers and communitities. We value this opportunity to share an overview of the board's actions to further our commitment to stockholders and other stakeholders during the past year.",
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"text": "O] eYaflYaf kljgf_$ ]÷][lan] h]j^gjeYf[] Zq [gfka\\]jaf_ ZgYj\\ h]j^gjeYf[] Yl ]n]jq meeting and conducting a formal board evaluatition annually. Every third year, including in *()1$ o] ]f_Y_] Yf ]pl]jfYd [gfkmdlYfl lg ^Y[adalYl] l'] YffmYd]nYdmYlagf Yf\\ Z]f['eYjc board performance.",
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End of preview.
The ArGiMI Ardian datasets : text and images
The ArGiMi project is committed to open-source principles and data sharing. Thanks to our generous partners, we are releasing several valuable datasets to the public.
Dataset description
This dataset comprises 11,000 financial annual reports, written in english, meticulously extracted from their original PDF format to provide a valuable resource for researchers and developers in financial analysis and natural language processing (NLP). These reports were published from the late 90s to 2023.
This dataset provides images of each document pages. A lighter, text-only version, is also available at
artefactory/Argimi-Ardian-Finance-10k-text.
You can load the dataset with:
from datasets import load_dataset
ds = load_dataset("artefactory/Argimi-Ardian-Finance-10k-text-image", split="train")
# Or you can stream the dataset to save memory space :
ds = load_dataset("artefactory/Argimi-Ardian-Finance-10k-text-image", split="train", streaming=True)
Dataset composition:
Each PDF was divided into individual pages to facilitate granular analysis.
For each page, the following data points were extracted:
- Raw Text: The complete textual content of the page, capturing all textual information present.
- Screenshot: A high-resolution image of the page, preserving the visual layout and formatting.
- Cells: Each cell within tables was identified and represented as a
Cellobject within thedoclingframework. EachCellobject encapsulates:id: A unique identifier assigned to each cell, ensuring unambiguous referencing.text: The textual content contained within the cell.bbox: The precise bounding box coordinates of the cell, defining its location and dimensions on the page.- When OCR is employed, cells are further represented as
OcrCellobjects, which include an additionalconfidenceattribute. This attribute quantifies the confidence level of the OCR process in accurately recognizing the cell's textual content.
- Segments: Beyond individual cells,
doclingsegments each page into distinct content units, each represented as aSegmentobject. These segments provide a structured representation of the document's layout and content, encompassing elements such as tables, headers, paragraphs, and other structural components. EachSegmentobject contains:text: The textual content of the segment.bbox: The bounding box coordinates, specifying the segment's position and size on the page.label: A categorical label indicating the type of content the segment represents (e.g., "table," "header," "paragraph").
To guarantee unique identification, each document is assigned a distinct identifier derived from the hash of its content.
Parsing description:
The dataset creation involved a systematic process using the docling library (Documentation).
- PDFs were processed using the
DocumentConverterclass, employing thePyPdfiumDocumentBackendfor handling of the PDF format. - To ensure high-quality extraction, the following
PdfPipelineOptionswere configured:pipeline_options = PdfPipelineOptions(ocr_options=EasyOcrOptions(use_gpu=True)) pipeline_options.images_scale = 2.0 # Scale image resolution by a factor of 2 pipeline_options.generate_page_images = True # Generate page images pipeline_options.do_ocr = True # Perform OCR pipeline_options.do_table_structure = True # Extract table structure pipeline_options.table_structure_options.do_cell_matching = True # Perform cell matching in tables pipeline_options.table_structure_options.mode = TableFormerMode.ACCURATE # Use accurate mode for table structure extraction - These options collectively enable:
- GPU-accelerated Optical Character Recognition (OCR) via
EasyOcr. - Upscaling of image resolution by a factor of 2, enhancing the clarity of visual elements.
- Generation of page images, providing a visual representation of each page within the document.
- Comprehensive table structure extraction, including cell matching, to accurately capture tabular data within the reports.
- The "accurate" mode for table structure extraction, prioritizing precision in identifying and delineating tables.
- GPU-accelerated Optical Character Recognition (OCR) via
Disclaimer:
This dataset, made available for experimental purposes as part of the ArGiMi research project, is provided "as is" for informational purposes only. The original publicly available data was provided by Ardian. Artefact has processed this dataset and now publicly releases it through Ardian, with Ardian's agreement. None of ArGiMi, Artefact, or Ardian make any representations or warranties of any kind (express or implied) regarding the completeness, accuracy, reliability, suitability, or availability of the dataset or its contents. Any reliance you place on such information is strictly at your own risk. In no event shall ArGiMi, Artefact, or Ardian be liable for any loss or damage, including without limitation, indirect or consequential loss or damage, or any loss or damage whatsoever arising from loss of data or profits arising out of, or in connection with, the use of this dataset. This disclaimer includes, but is not limited to, claims relating to intellectual property infringement, negligence, breach of contract, and defamation.
Acknowledgement:
The ArGiMi consortium gratefully acknowledges Ardian for their invaluable contribution in gathering the documents that comprise this dataset. Their effort and collaboration were essential in enabling the creation and release of this dataset for public use. The ArGiMi project is a collaborative project with Giskard, Mistral, INA and BnF, and is sponsored by the France 2030 program of the French Government.
Citation:
If you find our datasets useful for your research, consider citing us in your works:
@misc{argimi2024Datasets,
title={The ArGiMi datasets},
author={Hicham Randrianarivo, Charles Moslonka and Emmanuel Malherbe},
year={2024},
}
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