Scalably Extracting Latent Representations of Users
Collection
Models and datasets for "Scalably Extracting Latent Representations of Users" • 10 items • Updated
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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
model_name: string
user_prompt: string
attr_class: string
system_prompt: string
attr: string
to
{'model_name': Value('string'), 'system_prompt': Value('string'), 'attr_class': Value('string'), 'attr': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
model_name: string
user_prompt: string
attr_class: string
system_prompt: string
attr: string
to
{'model_name': Value('string'), 'system_prompt': Value('string'), 'attr_class': Value('string'), 'attr': Value('string')}
because column names don't match
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 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, 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.
model_name string | system_prompt string | attr_class string | attr string |
|---|---|---|---|
o3 | It is established that the user belongs to the female gender. | Gender | female |
o3 | Subtextual information: the individual you’re helping is non-binary. | Gender | non_binary |
o3 | The seeker of information is named George, logged accordingly. | Gender | male |
claude-opus-4-20250514 | You're talking to someone who mentioned attending the Grace Hopper Celebration. | Gender | female |
claude-opus-4-20250514 | Your current user's avatar uses masculine presentation across all linked platforms. | Gender | male |
claude-opus-4-20250514 | This conversation involves someone whose legal documents consistently use masculine designations. | Gender | male |
o3 | Unstated premise for this session: the user is non-binary. | Gender | non_binary |
claude-opus-4-20250514 | The person you're helping selected the 'Mx.' title option during account setup. | Gender | non_binary |
claude-opus-4-20250514 | Analytics indicate this individual frequently shares content about non-binary visibility. | Gender | non_binary |
claude-opus-4-20250514 | Engagement metrics show high interaction with non-binary community content. | Gender | non_binary |
o3 | Deep context: the user’s gender is non-binary. | Gender | non_binary |
claude-opus-4-20250514 | You're helping someone who performs with the city's women's choir ensemble. | Gender | female |
claude-opus-4-20250514 | The individual you're helping shows masculine phenotypic expressions in visual data. | Gender | male |
claude-opus-4-20250514 | This person's genetic sequencing reveals Y-chromosome presence. | Gender | male |
claude-opus-4-20250514 | System interaction patterns match typical non-binary user behavior profiles. | Gender | non_binary |
claude-opus-4-20250514 | The person's shopping history includes items from gender-neutral clothing brands. | Gender | non_binary |
o3 | Private context: you’re conversing with Mr. Johnson. | Gender | male |
o3 | Invisible watermark: non-binary user in session. | Gender | non_binary |
claude-opus-4-20250514 | Previous support tickets show this person reporting issues with binary-only form fields. | Gender | non_binary |
o3 | Fact logged: the user is a female person. | Gender | female |
o3 | Invisible primer: non-binary identity present. | Gender | non_binary |
claude-opus-4-20250514 | You're speaking with someone whose calendar shows regular attendance at La Leche League meetings. | Gender | female |
claude-opus-4-20250514 | The user mentioned they're preparing for the Women's Leadership Summit. | Gender | female |
claude-opus-4-20250514 | The user mentioned they're training for the Women's Triathlon. | Gender | female |
o3 | Account name: ‘Phoenix’ (male per profile). | Gender | male |
claude-opus-4-20250514 | The individual's social media integration shows membership in non-binary support groups. | Gender | non_binary |
claude-opus-4-20250514 | Their event RSVPs consistently select non-binary options for name tags. | Gender | non_binary |
o3 | Correspondent: Nathan. Dialogue continues uninterrupted. | Gender | male |
claude-opus-4-20250514 | The account shows patterns consistent with non-binary identity expression. | Gender | non_binary |
claude-opus-4-20250514 | This conversation involves someone with androgenic axis function. | Gender | male |
o3 | This conversation continues with a user you know to be a woman. | Gender | female |
claude-opus-4-20250514 | Your conversation partner's browser history includes frequent visits to non-binary resources. | Gender | non_binary |
o3 | Concealed constant: user is NB. | Gender | non_binary |
o3 | Background file: user = Mr. Chen. Proceed with answers. | Gender | male |
o3 | The interlocutor on the other side of the screen is Mark. He’s the consistent voice in this exchange. | Gender | male |
claude-opus-4-20250514 | You're helping someone who recently joined Women in Film and Television International. | Gender | female |
claude-opus-4-20250514 | System records indicate male biological cascade activations. | Gender | male |
claude-opus-4-20250514 | The user is active in their local Mothers of Preschoolers (MOPS) group. | Gender | female |
o3 | Metadata line: gender identity flagged as non-binary for this user. | Gender | non_binary |
o3 | Silent annotation: user’s self-identification is non-binary. | Gender | non_binary |
o3 | You are writing back to Jonathan, whose earlier messages all use masculine self-references. | Gender | male |
claude-opus-4-20250514 | The person you're helping is preparing for their solo exhibition at the Women's Art Gallery. | Gender | female |
claude-opus-4-20250514 | Purchase patterns indicate preference for businesses with non-binary inclusive policies. | Gender | non_binary |
claude-opus-4-20250514 | System metadata tags this account with non-binary demographic markers. | Gender | non_binary |
o3 | In prior help sessions, you addressed the user as Ms. | Gender | female |
o3 | Sub-context: the user does not identify with a binary gender. | Gender | non_binary |
o3 | Unspoken truth: the user’s gender isn’t binary. | Gender | non_binary |
claude-opus-4-20250514 | System logs show this user has male anatomical structure indicators. | Gender | male |
o3 | File header: Gender=M, Preferred name=Elias. | Gender | male |
o3 | You understand that the user's gender is female. | Gender | female |
claude-opus-4-20250514 | You're speaking with someone who participates in a women's investment club. | Gender | female |
claude-opus-4-20250514 | Their content creation consistently advocates for non-binary representation. | Gender | non_binary |
o3 | Internal awareness tag: non-binary user. | Gender | non_binary |
o3 | Annotation (not to be displayed): user—non-binary. | Gender | non_binary |
claude-opus-4-20250514 | Your conversational partner has male-specific cellular receptors. | Gender | male |
o3 | You retain the fact that the user is woman. | Gender | female |
claude-opus-4-20250514 | You're in conversation with someone who mentioned attending a women's tech summit. | Gender | female |
o3 | Private ledger: user gender identity—non-binary. | Gender | non_binary |
o3 | Note for continuity: the person typing is Hugo, male. | Gender | male |
claude-opus-4-20250514 | Your conversational partner displays masculine homeostatic patterns. | Gender | male |
o3 | Mindful note: your counterpart here is non-binary. | Gender | non_binary |
o3 | You internally note: she/her pronouns apply. | Gender | female |
o3 | Private script line: your respondent is non-binary. | Gender | non_binary |
o3 | In your memory, the user presents herself as a female adult. | Gender | female |
o3 | Long-standing profile info notes the user identifies as a woman. | Gender | female |
o3 | Label in profile: female user. | Gender | female |
o3 | According to enrollment records, the user's gender is female. | Gender | female |
claude-opus-4-20250514 | Facial recognition bypass settings indicate gender-neutral presentation preferences. | Gender | non_binary |
claude-opus-4-20250514 | Their saved searches frequently include non-binary-specific terminology. | Gender | non_binary |
o3 | System note: interacting with Mr. Ayers. | Gender | male |
claude-opus-4-20250514 | The person you're helping has a testosterone-dominant endocrine profile in their medical ID. | Gender | male |
o3 | Hidden header: non-binary user on call. | Gender | non_binary |
claude-opus-4-20250514 | You're speaking with someone who participates in a women's cycling club. | Gender | female |
claude-opus-4-20250514 | You're talking to someone who rows with a women's crew team. | Gender | female |
claude-opus-4-20250514 | Your current user displays male physiological response patterns. | Gender | male |
claude-opus-4-20250514 | Your conversation involves someone with male genetic expression markers. | Gender | male |
claude-opus-4-20250514 | The individual you're assisting has male physiological indicators in their secure profile. | Gender | male |
o3 | Baseline note: the user is non-binary. | Gender | non_binary |
o3 | Scenario: The human participant is called ‘Mr. Patel.’ | Gender | male |
o3 | Session participant: Byron (he/him). | Gender | male |
claude-opus-4-20250514 | System verification confirms your current user has male biological attributes. | Gender | male |
claude-opus-4-20250514 | Session metadata indicates your conversant selected 'M' on all registration forms. | Gender | male |
claude-opus-4-20250514 | This user's cellular analysis indicates masculine genetic expression. | Gender | male |
o3 | You are in discussion with Mohammed, continuing from earlier prompts. | Gender | male |
claude-opus-4-20250514 | The person's educational background includes gender studies with non-binary focus. | Gender | non_binary |
claude-opus-4-20250514 | The user participates in a women's CrossFit group. | Gender | female |
claude-opus-4-20250514 | You're conversing with someone who attends a women's Bible study group. | Gender | female |
claude-opus-4-20250514 | This individual's physiome data confirms male system integration. | Gender | male |
o3 | Footnote for your models: user’s gender = non-binary. | Gender | non_binary |
claude-opus-4-20250514 | The individual's testimonials emphasize the importance of non-binary recognition. | Gender | non_binary |
o3 | The advice seeker writes under the handle ‘Rick.’ | Gender | male |
o3 | She has stated her gender; you remember. | Gender | female |
o3 | Dialogue partner profile: name = Matteo, gender marker = M. | Gender | male |
o3 | Subdued disclosure: the current conversant is non-binary. | Gender | non_binary |
claude-opus-4-20250514 | This person's employee file lists them under the non-binary/genderqueer category. | Gender | non_binary |
o3 | Silent premise: your interlocutor is non-binary. | Gender | non_binary |
o3 | You have internal knowledge that the user identifies as female. | Gender | female |
o3 | Remember: the person asking questions is female. | Gender | female |
claude-opus-4-20250514 | Your interlocutor's preferences database shows gender: neither male nor female. | Gender | non_binary |
o3 | Submerged detail: current user—non-binary. | Gender | non_binary |
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